Fingerprint identification module, fingerprint identification method and device

Abstract

The application discloses a fingerprint identification module, a fingerprint identification method and a device. The fingerprint identification module comprises a plurality of first light sensing pixels for photoelectric conversion of light of a first color reflected by a target object, and a plurality of second light sensing pixels for photoelectric conversion of light of a second color reflected by the target object. In the light reflected by the target object, the proportion of the light of the first color and the proportion of the light of the second color are different, and / or the photoelectric conversion efficiency of the first light sensing pixels and the second light sensing pixels is different. Therefore, based on the light signals collected by the plurality of first light sensing pixels and the plurality of second light sensing pixels, two frames of fingerprint identification images with different intensities can be generated. If the fingerprint identification device determines that the identification of one frame of the fingerprint identification images fails, the other frame of the fingerprint identification images can be used for identification, without the need for the fingerprint identification module to re-expose, thereby effectively improving the efficiency of fingerprint identification.

Description

Technical Field

[0001] This application relates to the field of fingerprint recognition technology, and in particular to a fingerprint recognition module, fingerprint recognition method and device. Background Technology

[0002] With the development of electronic technology, many terminal devices (such as mobile phones) are equipped with optical fingerprint recognition modules. During fingerprint recognition, pixels in the fingerprint recognition area of ​​the terminal device's display emit a light beam. The optical fingerprint recognition module collects the light beam reflected by the user's finger and forms an image based on this reflected beam to obtain a fingerprint image. Subsequently, the terminal device's processing circuitry (such as a central processing unit) performs fingerprint recognition based on this image.

[0003] However, if the processing circuit cannot recognize the user's fingerprint based on the fingerprint image, the optical fingerprint recognition module needs to acquire the fingerprint image again for the processing circuit to recognize. This results in low fingerprint recognition efficiency. Summary of the Invention

[0004] This application provides a fingerprint recognition module, fingerprint recognition method, and device, which can solve the problem of low fingerprint recognition efficiency in related technologies. The technical solution is as follows:

[0005] On one hand, a fingerprint recognition module is provided, the fingerprint recognition module comprising: a plurality of first pixel groups and a plurality of second pixel groups, the plurality of first pixel groups and the plurality of second pixel groups being arranged alternately along a first direction;

[0006] Each first pixel group includes a plurality of first photosensitive pixels arranged along a second direction, and each second pixel group includes a plurality of second photosensitive pixels arranged along a second direction, the second direction intersecting the second direction;

[0007] The first photosensitive pixel is used to perform photoelectric conversion on light of a first color reflected by the target object and generate a first fingerprint recognition image. The second photosensitive pixel is used to perform photoelectric conversion on light of a second color reflected by the target object and generate a second fingerprint recognition image. The second color is different from the first color.

[0008] In the light reflected by the target object, the proportion of the first color light is different from the proportion of the second color light, and / or the photoelectric conversion efficiency of the first photosensitive pixel and the second photosensitive pixel is different.

[0009] Optionally, the first color is red, and the second color is green or white.

[0010] Optionally, the first direction is a row direction, the second direction is a column direction, each first pixel group includes a column of first photosensitive pixels located in odd-numbered columns, and each second pixel group includes a column of second photosensitive pixels located in even-numbered columns.

[0011] Optionally, the first direction is a column direction, the second direction is a row direction, each first pixel group includes a row of first photosensitive pixels located in odd-numbered rows, and each second pixel group includes a row of second photosensitive pixels located in even-numbered rows.

[0012] Optionally, the fingerprint recognition module further includes: multiple amplifiers;

[0013] The plurality of amplifiers correspond one-to-one with the multiple columns of photosensitive pixels in the fingerprint recognition module, wherein each amplifier is connected to a corresponding column of photosensitive pixels, and the amplifier is used to amplify the electrical signal generated by the column of photosensitive pixels.

[0014] Optionally, each of the plurality of first photosensitive pixels and the plurality of second photosensitive pixels includes: a photodiode, a transmission transistor, a reset transistor, a source follower, and a row gate transistor;

[0015] The first end of the photodiode is connected to the ground terminal, and the second end of the photodiode is connected to the first terminal of the transmission transistor;

[0016] The gate of the transmission transistor is connected to the first signal terminal, and the second terminal of the transmission transistor is connected to the first terminal of the reset transistor and the gate of the source follower, respectively.

[0017] The gate of the reset transistor is connected to the second signal terminal, the second terminal of the reset transistor and the first terminal of the source follower are both connected to the power supply terminal, and the second terminal of the source follower is connected to the first terminal of the row select transistor.

[0018] The gate of the row select transistor is connected to the third signal terminal, and the second terminal of the row select transistor is connected to the input terminal of an amplifier.

[0019] Optionally, the fingerprint recognition module further includes: multiple analog-to-digital converters;

[0020] The plurality of analog-to-digital converters correspond one-to-one with the multiple columns of photosensitive pixels in the fingerprint recognition module, wherein each analog-to-digital converter is connected to an amplifier connected to a corresponding column of photosensitive pixels, and each analog-to-digital converter is used to perform analog-to-digital conversion on the amplified electrical signal.

[0021] On the other hand, a fingerprint recognition method is provided, applied to a fingerprint recognition device, the fingerprint recognition device being connected to a fingerprint recognition module as described above; the method includes:

[0022] The initial fingerprint recognition image acquired by the fingerprint recognition module is obtained. The initial fingerprint recognition image includes multiple image pixels arranged in an array. The pixel value of each image pixel in the multiple image pixels is generated based on the light signal acquired by a photosensitive pixel in the fingerprint recognition module.

[0023] The initial fingerprint recognition image is divided into a first fingerprint recognition image and a second fingerprint recognition image. The first fingerprint recognition image includes a plurality of first image pixels, and the second fingerprint recognition image includes a plurality of second image pixels. The pixel values ​​of the plurality of first image pixels are generated based on the light signals collected by the plurality of first photosensitive pixels in the fingerprint recognition module, and the pixel values ​​of the plurality of second image pixels are generated based on the light signals collected by the plurality of second photosensitive pixels in the fingerprint recognition module.

[0024] Fingerprint recognition is performed on the first fingerprint recognition image and the second fingerprint recognition image.

[0025] Optionally, the first photosensitive pixel is used to perform photoelectric conversion on light of a first color reflected by the target object, and the second photosensitive pixel is used to perform photoelectric conversion on light of a second color reflected by the target object, wherein the first color is red and the second color is green or white;

[0026] The step of dividing the initial fingerprint recognition image into a first fingerprint recognition image and a second fingerprint recognition image includes:

[0027] If the signal value of the first electrical signal output by at least one of the plurality of first photosensitive pixels is greater than a first threshold, and the ratio of the signal value of the first electrical signal to the signal value of the second electrical signal output by at least one of the plurality of second photosensitive pixels is less than a second threshold, then the initial fingerprint recognition image is determined to have passed the anti-counterfeiting verification, and the initial fingerprint recognition image is divided into a first fingerprint recognition image and a second fingerprint recognition image.

[0028] The method further includes:

[0029] If the signal value of the first electrical signal is less than or equal to the first threshold, or the ratio is greater than or equal to the second threshold, then it is determined that the initial fingerprint recognition image has failed the anti-counterfeiting verification, and the fingerprint recognition operation is terminated.

[0030] Optionally, dividing the initial fingerprint recognition image into a first fingerprint recognition image and a second fingerprint recognition image includes:

[0031] The initial fingerprint recognition image is divided into a first intermediate fingerprint image and a second intermediate fingerprint image. The first intermediate fingerprint image includes the plurality of first image pixels, and the second intermediate fingerprint image includes the plurality of second image pixels.

[0032] The first intermediate fingerprint image is interpolated to obtain the first fingerprint recognition image;

[0033] The second intermediate fingerprint image is interpolated to obtain the second fingerprint recognition image;

[0034] The resolution of both the first fingerprint recognition image and the second fingerprint recognition image is the same as that of the initial fingerprint recognition image.

[0035] Optionally, the step of performing fingerprint recognition on the first fingerprint recognition image and the second fingerprint recognition image includes:

[0036] The first fingerprint recognition image and the second fingerprint recognition image are fused to obtain a fused fingerprint recognition image;

[0037] Fingerprint recognition is performed on the first fingerprint recognition image, the second fingerprint recognition image, and the fused fingerprint recognition image.

[0038] Optionally, the step of performing fingerprint recognition on the first fingerprint recognition image and the second fingerprint recognition image includes:

[0039] Fingerprint recognition is performed on the first fingerprint image and the second fingerprint image in order of image quality from high to low.

[0040] If the identified fingerprint image matches the fingerprint template stored in the fingerprint recognition device, then fingerprint recognition of other fingerprint images will be stopped.

[0041] In another aspect, a fingerprint recognition device is provided, which is connected to the fingerprint recognition module described above. The fingerprint recognition device includes:

[0042] The acquisition module is used to acquire an initial fingerprint recognition image collected by the fingerprint recognition module. The initial fingerprint recognition image includes multiple image pixels arranged in an array. The pixel value of each image pixel in the multiple image pixels is generated based on the light signal collected by a photosensitive pixel in the fingerprint recognition module.

[0043] A segmentation module is used to segment the initial fingerprint recognition image into a first fingerprint recognition image and a second fingerprint recognition image. The first fingerprint recognition image includes a plurality of first image pixels, and the second fingerprint recognition image includes a plurality of second image pixels. The pixel values ​​of the plurality of first image pixels are generated based on the light signals collected by the plurality of first photosensitive pixels in the fingerprint recognition module, and the pixel values ​​of the plurality of second image pixels are generated based on the light signals collected by the plurality of second photosensitive pixels in the fingerprint recognition module.

[0044] The recognition module is used to perform fingerprint recognition on the first fingerprint recognition image and the second fingerprint recognition image.

[0045] Optionally, the first photosensitive pixel is used to perform photoelectric conversion on light of a first color reflected by the target object, and the second photosensitive pixel is used to perform photoelectric conversion on light of a second color reflected by the target object, wherein the first color is red and the second color is green or white;

[0046] The division module is configured to determine that the initial fingerprint recognition image has passed the anti-counterfeiting verification if the signal value of the first electrical signal output by at least one of the plurality of first photosensitive pixels is greater than a first threshold, and the ratio of the signal value of the first electrical signal to the signal value of the second electrical signal output by at least one of the plurality of second photosensitive pixels is less than a second threshold, and divide the initial fingerprint recognition image into a first fingerprint recognition image and a second fingerprint recognition image.

[0047] The segmentation module is further configured to determine that the initial fingerprint recognition image has failed the anti-counterfeiting verification and terminate the fingerprint recognition operation if the signal value of the first electrical signal is less than or equal to the first threshold, or the ratio is greater than or equal to the second threshold.

[0048] Optionally, the partitioning module is used for:

[0049] The initial fingerprint recognition image is divided into a first intermediate fingerprint image and a second intermediate fingerprint image. The first intermediate fingerprint image includes the plurality of first image pixels, and the second intermediate fingerprint image includes the plurality of second image pixels.

[0050] The first intermediate fingerprint image is interpolated to obtain the first fingerprint recognition image;

[0051] The second intermediate fingerprint image is interpolated to obtain the second fingerprint recognition image;

[0052] The resolution of both the first fingerprint recognition image and the second fingerprint recognition image is the same as that of the initial fingerprint recognition image.

[0053] Optionally, the identification module is used for:

[0054] The first fingerprint recognition image and the second fingerprint recognition image are fused to obtain a fused fingerprint recognition image;

[0055] Fingerprint recognition is performed on the first fingerprint recognition image, the second fingerprint recognition image, and the fused fingerprint recognition image.

[0056] Optionally, the identification module is used for:

[0057] Fingerprint recognition is performed on the first fingerprint image and the second fingerprint image in order of image quality from high to low.

[0058] If the identified fingerprint image matches the fingerprint template stored in the fingerprint recognition device, then fingerprint recognition of other fingerprint images will be stopped.

[0059] In another aspect, a fingerprint recognition device is provided, the fingerprint recognition device including a processor and a memory, the memory storing instructions which are loaded and executed by the processor to implement the fingerprint recognition method as described above.

[0060] In another aspect, a computer-readable storage medium is provided, wherein instructions are stored therein, which are loaded and executed by a processor to implement the fingerprint recognition method described above.

[0061] In another aspect, a computer program product is provided, the computer program product including computer instructions, which are loaded and executed by a processor to implement the fingerprint recognition method as described above.

[0062] In another aspect, a fingerprint recognition device is provided, including a fingerprint recognition module as described above, and a fingerprint recognition apparatus as described in any of the preceding aspects.

[0063] The beneficial effects of the technical solution provided in this application include at least the following:

[0064] This application provides a fingerprint recognition module, fingerprint recognition method, and apparatus. The fingerprint recognition module includes multiple first photosensitive pixels for photoelectric conversion of light of a first color reflected by a target object, and multiple second photosensitive pixels for photoelectric conversion of light of a second color reflected by the target object. Furthermore, the proportions of the first color and the second color of light reflected by the target object are different, and / or the photoelectric conversion efficiencies of the first and second photosensitive pixels are different. Therefore, based on the light signals collected by the multiple first and second photosensitive pixels, two fingerprint recognition images with different intensities can be generated. If the fingerprint recognition apparatus determines that one fingerprint recognition image fails, it can use the other fingerprint recognition image for recognition without requiring the fingerprint recognition module to re-expose, thereby effectively improving the efficiency of fingerprint recognition. Attached Figure Description

[0065] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0066] Figure 1 This is a schematic diagram of the structure of a fingerprint recognition device provided in an embodiment of this application;

[0067] Figure 2 This is a schematic diagram of a fingerprint recognition area provided in an embodiment of this application;

[0068] Figure 3 This is a schematic diagram of the structure of a fingerprint recognition module provided in an embodiment of this application;

[0069] Figure 4 This is a schematic diagram of another fingerprint recognition module provided in an embodiment of this application;

[0070] Figure 5 This is a schematic diagram of the structure of another fingerprint recognition module provided in the embodiments of this application;

[0071] Figure 6 This is a schematic diagram of another fingerprint recognition module provided in the embodiments of this application;

[0072] Figure 7 This is a schematic diagram of the structure of a photosensitive pixel provided in an embodiment of this application;

[0073] Figure 8 This is a schematic diagram of another fingerprint recognition area provided in an embodiment of this application;

[0074] Figure 9This is a timing diagram of a photosensitive pixel provided in an embodiment of this application;

[0075] Figure 10 This is a schematic flowchart of a fingerprint recognition method provided in an embodiment of this application;

[0076] Figure 11 This is a flowchart illustrating another fingerprint recognition method provided in an embodiment of this application;

[0077] Figure 12 This is a schematic diagram of the structure of a fingerprint recognition device provided in an embodiment of this application;

[0078] Figure 13 This is a schematic diagram of another fingerprint recognition device provided in the embodiments of this application. Detailed Implementation

[0079] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0080] Figure 1 This is a schematic diagram of the structure of a fingerprint recognition device provided in an embodiment of this application. Figure 1 As shown, the fingerprint recognition device includes a fingerprint recognition module 10 and a fingerprint recognition device 20.

[0081] like Figure 2 As shown, the fingerprint recognition area Z of the fingerprint recognition device may include multiple arrayed light-emitting pixels. These multiple light-emitting pixels may include red (red, R) light-emitting pixels that emit red light, green (green, G) light-emitting pixels that emit green light, and blue (blue, B) light-emitting pixels that emit blue light. These multiple light-emitting pixels may be organic light-emitting diodes (OLEDs).

[0082] When a user's finger presses the fingerprint recognition area Z of the fingerprint recognition device, multiple light-emitting pixels in the fingerprint recognition area Z emit light beams (i.e., present light spots). When the user's finger comes into contact with the fingerprint recognition area Z, it reflects the light beams. The fingerprint recognition module 10 can then collect the light beams reflected by the user's finger and image the reflected light beams to obtain a fingerprint recognition image that includes the ridges and valleys of the finger. This fingerprint recognition image can reflect the fingerprint characteristics of the user's finger.

[0083] The fingerprint recognition device 20 can acquire the fingerprint image and perform fingerprint recognition on the image to authenticate the user's identity. Specifically, the fingerprint recognition device 20 can compare the fingerprint image with a pre-stored fingerprint template. If the fingerprint image matches the pre-stored fingerprint template, the fingerprint recognition device 20 determines that the fingerprint recognition is successful, i.e., the user authentication is successful. If the fingerprint image does not match the pre-stored fingerprint template, the fingerprint recognition device 20 determines that the fingerprint recognition has failed, i.e., the user authentication has failed.

[0084] The fingerprint recognition device can be a mobile phone, tablet computer, laptop computer, or time clock, etc. The fingerprint recognition module 10 can be an optical fingerprint recognition module. The fingerprint recognition device 20 can be the central processing unit (CPU) of the fingerprint recognition device.

[0085] For example, if the fingerprint recognition device is a mobile phone, then the mobile phone can unlock the phone or make electronic payments through fingerprint recognition.

[0086] In related technologies, the fingerprint recognition module 10 may include a plurality of photosensitive pixels arranged in an array. The plurality of photosensitive pixels have the same structure and photosensitive performance, that is, the plurality of photosensitive pixels can only perform photoelectric conversion on the same color (e.g., white or green) light beam reflected by the target object to obtain a fingerprint recognition image.

[0087] Fingerprint recognition devices often suffer from multiple exposures during the fingerprint recognition process, meaning the fingerprint recognition module captures the fingerprint image multiple times. Exposure refers to the photoelectric conversion process by which the fingerprint recognition module converts reflected light beams. This necessitates multiple fingerprint scans, leading to lower recognition efficiency. Multiple exposures can occur when the user's fingerprint does not match the pre-stored fingerprint template, when the ambient light is too strong or too weak, or when the user's finger does not completely cover the fingerprint recognition area.

[0088] Figure 3 This is a schematic diagram of the structure of a fingerprint recognition module provided in an embodiment of this application. This fingerprint recognition module can be applied in fingerprint recognition devices, for example, it can be applied to... Figure 1 In the fingerprint recognition device shown. For example... Figure 3As shown, the fingerprint recognition module 10 includes a plurality of first pixel groups 11a and a plurality of second pixel groups 11b. The plurality of first pixel groups 11a and the plurality of second pixel groups 11b are arranged alternately along a first direction X. The alternate arrangement means that there is a second pixel group 11b between every two adjacent first pixel groups 11a, and there is a first pixel group 11a between every two adjacent second pixel groups 11b.

[0089] refer to Figure 3 Each first pixel group 11a includes a plurality of first photosensitive pixels P1 arranged along the second direction Y, and each second pixel group 11b includes a plurality of second photosensitive pixels P2 arranged along the second direction Y. The first direction X intersects the second direction Y. For example, the first direction X and the second direction Y can be perpendicular. The first direction X can be one of a pixel row direction and a pixel column direction, and the second direction Y can be the other of a pixel row direction and a pixel column direction. For example, see reference... Figure 3 The first direction X can be the pixel column direction, and the second direction Y can be the pixel row direction. Alternatively, refer to... Figure 4 The first direction X can be the pixel row direction, and the second direction Y can be the pixel column direction.

[0090] The first photosensitive pixel P1 is used to perform photoelectric conversion on light of a first color reflected by the target object. The second photosensitive pixel P2 is used to perform photoelectric conversion on light of a second color reflected by the target object. Furthermore, the proportions of the first color and the second color in the light reflected by the target object are different, and / or, the photoelectric conversion efficiencies of the first photosensitive pixel P1 and the second photosensitive pixel P2 are different. For example, the first color can be red, and the second color can be green, white, or other colors.

[0091] In this embodiment, the fingerprint recognition area Z of the fingerprint recognition device can be arranged with multiple light-emitting pixels. When a target object comes into contact with the fingerprint recognition area Z, the light-emitting pixels of the fingerprint recognition area Z can emit a light beam. Each of the multiple photosensitive pixels in the fingerprint recognition module 10 can collect the light beam reflected by the target object and perform photoelectric conversion on the reflected light beam to obtain a fingerprint recognition image.

[0092] In this fingerprint recognition area Z, the light beams emitted by multiple light-emitting pixels can be of different colors; that is, the fingerprint recognition area Z can be arranged with light-emitting pixels of various different colors. For example, refer to... Figure 2 The fingerprint recognition area, arranged in a Z-shape, contains multiple light-emitting pixels, including red, green, and blue light-emitting pixels.

[0093] It is understandable that the number of light-emitting pixels of different colors can be the same or different. When the number of light-emitting pixels of different colors is different, the light beams emitted by multiple light-emitting pixels in the Z region of the fingerprint recognition area are reflected by the target object and transmitted to the light beams of each photosensitive pixel in the fingerprint recognition module 10, resulting in different proportions of light beams of different colors. When the number of light-emitting pixels of different colors is the same, the light beams emitted by multiple light-emitting pixels in the Z region of the fingerprint recognition area are reflected by the target object and transmitted to the light beams of each photosensitive pixel in the fingerprint recognition module 10, resulting in the same proportion of light beams of different colors. For example, refer to... Figure 2 The number of green light-emitting pixels arranged in the Z-row of the fingerprint recognition area can be twice the number of red or blue light-emitting pixels. Correspondingly, in the light beams reflected by the target object received by each photosensitive pixel in the fingerprint recognition module 10, the green light beam accounts for the highest proportion.

[0094] Because the proportions of the first color light and the second color light in the light reflected by the target object are different, and / or the photoelectric conversion efficiencies of the first photosensitive pixel P1 and the second photosensitive pixel P2 are different, the number of electrons obtained by the first photosensitive pixel P1 through photoelectric conversion of the first color light beam is different from the number of electrons obtained by the second photosensitive pixel P2 through photoelectric conversion of the second color light beam. Consequently, the pixel value intensity of the image pixel (hereinafter referred to as the first image pixel) generated based on the light signal collected by the first photosensitive pixel P1 is different from the pixel value intensity of the image pixel (hereinafter referred to as the second image pixel) generated based on the light signal collected by the second photosensitive pixel P2. Here, pixel value intensity can refer to the intensity relationship between pixel value and light signal; that is, for the same amount of light signal reflected to the photosensitive pixel, image pixels with different pixel value intensities have different pixel values.

[0095] Accordingly, a first fingerprint recognition image can be generated based on the plurality of first image pixels, and a second fingerprint recognition image can be generated based on the plurality of second image pixels, with the two fingerprint recognition images having different intensities. That is, based on the light signal collected by the fingerprint recognition module 10 during a single exposure, two fingerprint recognition images with different intensities can be generated. Therefore, if the fingerprint recognition device 20 determines that one fingerprint recognition image fails, it can use the other fingerprint recognition image for fingerprint recognition without requiring the fingerprint recognition module 10 to collect a fingerprint recognition image again. This further improves fingerprint recognition efficiency.

[0096] In summary, this application provides a fingerprint recognition module. This module includes multiple first photosensitive pixels for photoelectric conversion of light of a first color reflected by a target object, and multiple second photosensitive pixels for photoelectric conversion of light of a second color reflected by the target object. Furthermore, the proportions of the first and second colors of light reflected by the target object are different, and / or the photoelectric conversion efficiencies of the first and second photosensitive pixels are different. Therefore, based on the light signals collected by the multiple first and second photosensitive pixels, two fingerprint recognition images with different intensities can be generated. If the fingerprint recognition device determines that one fingerprint recognition image fails, it can use the other fingerprint recognition image for recognition without requiring the fingerprint recognition module to re-expose, thereby effectively improving the efficiency of fingerprint recognition.

[0097] As a first possible implementation, the proportion of light of the first color and the proportion of light of the second color in the light reflected by the target object are different, and the photoelectric conversion efficiency of the first photosensitive pixel P1 and the second photosensitive pixel P2 in the fingerprint recognition module 10 is the same.

[0098] In this implementation, the number of light-emitting pixels of different colors arranged in the fingerprint recognition area Z of the fingerprint recognition device is different. This results in different proportions of different colored light beams in the light beams transmitted to each photosensitive pixel in the fingerprint recognition module 10 after reflection from the target object. Correspondingly, the amount of light of the first color beam converted by the first photosensitive pixel P1 is different from the amount of light of the second color beam converted by the second photosensitive pixel P2. Consequently, the number of electrons obtained by the first photosensitive pixel P1 from the first color beam is different from the number of electrons obtained by the second photosensitive pixel P2 from the first color beam.

[0099] As a second possible implementation, in the light reflected by the target object, the proportion of light of the first color is the same as that of light of the second color, and the photoelectric conversion efficiency of the first photosensitive pixel P1 and the second photosensitive pixel P2 in the fingerprint recognition module 10 is different.

[0100] In this implementation, the number of light-emitting pixels of different colors arranged in the Z-array of the fingerprint recognition area is the same. This ensures that the proportion of different colored light beams is the same in the light beams transmitted to each photosensitive pixel in the fingerprint recognition module 10 after reflection from the target object. Correspondingly, the amount of light of the first color beam converted by the first photosensitive pixel P1 is the same as the amount of light of the second color beam converted by the second photosensitive pixel P2. However, because the photoelectric conversion efficiency of the first photosensitive pixel P1 and the second photosensitive pixel P2 is different, the number of electrons obtained by the first photosensitive pixel P1 from the photoelectric conversion of the first color beam is also different from the number of electrons obtained by the second photosensitive pixel P1 from the photoelectric conversion of the first color beam.

[0101] As a third possible implementation, the proportion of light of the first color and the proportion of light of the second color in the light reflected by the target object are different, and the photoelectric conversion efficiency of the first photosensitive pixel P1 and the second photosensitive pixel P2 in the fingerprint recognition module 10 are different.

[0102] In this implementation, the proportion of light of the first color is greater than the proportion of light of the second color, and the photoelectric conversion efficiency of the first photosensitive pixel P1 is greater than that of the second photosensitive pixel P2. Alternatively, the proportion of light of the first color is less than the proportion of light of the second color, and the photoelectric conversion efficiency of the first photosensitive pixel P1 is less than that of the second photosensitive pixel P2. This ensures that the number of electrons obtained by the photoelectric conversion of the first photosensitive pixel P1 is different from the number of electrons obtained by the photoelectric conversion of the second photosensitive pixel, thereby ensuring that two fingerprint recognition images with different intensities are generated based on the light signal collected by the fingerprint recognition module 10 during a single exposure.

[0103] Optionally, such as Figure 3 As shown, the first direction X of the staggered arrangement of multiple first pixel groups 11a and multiple second pixel groups 11b can be a column direction, and the second direction Y can be a row direction. Each first pixel group 11a may include a row of first photosensitive pixels P1 located in odd-numbered rows, and each second pixel group 11b may include a row of second photosensitive pixels P2 located in even-numbered rows. Since the number of electrons obtained by the photoelectric conversion of the first photosensitive pixel P1 is different from the number of electrons obtained by the photoelectric conversion of the second photosensitive pixel P2, the pixel value intensity of the image pixels generated based on the light signals collected by the photosensitive pixels in odd-numbered rows and even-numbered rows is different. Accordingly, a first fingerprint recognition image of one intensity can be generated based on the image pixels in the odd-numbered rows, and a second fingerprint recognition image of another intensity can be generated based on the image pixels in the even-numbered rows.

[0104] Or, such as Figure 4As shown, the first direction X can be a row direction, and the second direction Y can be a column direction. Each first pixel group 11a may include a column of first photosensitive pixels P1 located in odd-numbered columns, and each second pixel group 11b may include a column of second photosensitive pixels P2 located in even-numbered columns. That is, the pixel value intensities of the image pixels generated based on the light signals collected from the photosensitive pixels in odd-numbered and even-numbered columns are different. Accordingly, a first fingerprint recognition image of one intensity can be generated based on the image pixels in the odd-numbered columns, and a second fingerprint recognition image of another intensity can be generated based on the image pixels in the even-numbered columns.

[0105] refer to Figure 3 and Figure 4 It is known that the plurality of first photosensitive pixels P1 included in each first pixel group 11a, and the plurality of second photosensitive pixels P2 included in each second pixel group 11b, are continuous in the second direction Y. Therefore, in the first fingerprint recognition image obtained by photoelectric conversion based on the plurality of first photosensitive pixels P1, there is a strong correlation between the plurality of first image pixels included therein. In the second fingerprint recognition image obtained by photoelectric conversion based on the plurality of second photosensitive pixels P2, there is also a strong correlation between the plurality of second image pixels included therein. Here, the correlation between image pixels refers to the correlation or continuity of the pixel content of the image pixels. As a result, the fingerprint recognition device 20 can accurately perform fingerprint recognition based on the first fingerprint recognition image and the second fingerprint recognition image, thereby ensuring the reliability of fingerprint recognition.

[0106] It is understood that, in addition to multiple first pixel groups 11a and multiple second pixel groups 11b, the fingerprint recognition module 10 may also include multiple third pixel groups. These multiple first pixel groups 11a, multiple second pixel groups 11b, and multiple third pixel groups can be arranged alternately along the first direction X. Alternate arrangement means that each pair of adjacent first pixel groups 11a includes one second pixel group 11b and one third pixel group, each pair of adjacent second pixel groups 11b includes one first pixel group 11a and one third pixel group, and each pair of adjacent third pixel groups includes one first pixel group 11a and one second pixel group 11b.

[0107] Each third pixel group may include multiple third photosensitive pixels arranged along the second direction Y. These third photosensitive pixels are used to perform photoelectric conversion on light of a third color reflected by the target object. This third color is different from both the first and second colors. That is, the fingerprint recognition module 10 may include multiple pixel groups with different photosensitive characteristics.

[0108] The pixel intensity of the image pixel generated by the light signal collected by the third photosensitive pixel group is different from that of the first and second image pixels. Therefore, the fingerprint recognition module 10 can generate three fingerprint recognition images with different intensities from the light signal collected in a single exposure. Furthermore, the fingerprint recognition module 10 may also include other pixel groups with different photosensitive characteristics, and can generate a greater number of fingerprint recognition images with different intensities to ensure the reliability and efficiency of fingerprint recognition. This application embodiment does not limit the number of pixel groups included in the fingerprint recognition module 10, nor the number of fingerprint recognition images that can be generated.

[0109] Optionally, as shown in Figure 5, the fingerprint recognition module 10 may further include a plurality of amplifiers 12. Each amplifier 12 corresponds one-to-one with a row of photosensitive pixels in the fingerprint recognition module 10. Each amplifier 12 is connected to a corresponding row of photosensitive pixels. The amplifier 12 is used to amplify the electrical signal generated by a row of photosensitive pixels. That is, a row of photosensitive pixels shares one amplifier 12. The amplification gain of the plurality of amplifiers 12 is the same.

[0110] In this embodiment of the application, for each amplifier 12 connected to a column of photosensitive pixels, as shown in Figure 5, the multiple photosensitive pixels included in this column can be of the same type (for example, they can all be first photosensitive pixels P1 or second photosensitive pixels P2). That is, each amplifier 12 can be connected to a first pixel group 11a or a second pixel group 11b.

[0111] Or, such as Figure 6 As shown, for each amplifier 12 connected to a column of photosensitive pixels, the column of photosensitive pixels may include alternating first photosensitive pixels P1 and second photosensitive pixels P2.

[0112] Optionally, such as Figure 5 and Figure 6 As shown, the fingerprint recognition module 10 may further include a plurality of analog-digital converters (ADCs) 13. The plurality of ADCs 13 correspond one-to-one with the multiple columns of photosensitive pixels in the fingerprint recognition module 10, wherein each ADC 13 is connected to an amplifier 12 connected to the corresponding column of photosensitive pixels.

[0113] Each analog-to-digital converter 13 is used to perform analog-to-digital conversion on the amplified electrical signal. It is understood that the electrical signal generated by the photosensitive pixel is an analog signal, and the analog-to-digital converter 13 can perform analog-to-digital conversion on the amplified electrical signal to obtain a digital signal, which can then be used for fingerprint imaging.

[0114] Optionally, such as Figure 5 and Figure 6 As shown, the fingerprint recognition module 10 may also include a memory 14.

[0115] In this embodiment, the memory 14 is used to buffer the digital signals output by multiple analog-to-digital converters 13, and transmit the buffered digital signals to the fingerprint recognition device 20 in the form of a fingerprint recognition image for fingerprint recognition by the fingerprint recognition device 20.

[0116] The following section introduces the photosensitive characteristics and structure of each photosensitive pixel in the fingerprint recognition module 10.

[0117] In this embodiment, the first photosensitive pixel P1 in the fingerprint recognition module 10 can perform photoelectric conversion on red light reflected by the target object, meaning the first color can be red. This first photosensitive pixel P1 can also be referred to as a red photosensitive pixel. The second photosensitive pixel P2 can perform photoelectric conversion on green light reflected by the target object, meaning the second color can be green. This second photosensitive pixel P2 can also be referred to as a green photosensitive pixel.

[0118] Figure 7 This is a schematic diagram of the structure of a photosensitive pixel provided in an embodiment of this application. (Reference) Figure 7 The photosensitive pixel may include a photodiode (PD). The sensing characteristics of the photodiode PD in the first photosensitive pixel P1 for sensing the different colors of the light beam reflected by the target object are different from those of the photodiode PD in the second photosensitive pixel P2.

[0119] In this embodiment, the red reflected light in the red band of the fingerprint recognition module 10, reflected by the target object, can excite the photodiode PD in the first photosensitive pixel P1 to produce a photoelectric effect. The green reflected light in the green band can excite the photodiode PD in the second photosensitive pixel P2 to produce a photoelectric effect. The photoelectric conversion efficiency of the photodiode PD in the first photosensitive pixel P1 and the photodiode PD in the second photosensitive pixel P2 can be the same or different. The photoelectric conversion efficiency of a photosensitive pixel is the same as the photoelectric conversion efficiency of the photodiode in that photosensitive pixel.

[0120] Optionally, the second color can also be white. That is, the second photosensitive pixel P2 can perform photoelectric conversion on the white light reflected by the target object, and the second photosensitive pixel P2 can also be called a white photosensitive pixel. The white reflected light can be a beam of light composed of the light beams emitted by the red, green, and blue light-emitting pixels arranged in the fingerprint recognition area Z. Alternatively, the second color can also be a color other than red, and this embodiment of the application does not limit this.

[0121] In this embodiment, the fingerprint recognition device can be an in-display fingerprint recognition device. In an in-display fingerprint recognition device, the photosensitive pixels of the fingerprint recognition module 10 and the light-emitting pixels of the fingerprint recognition area Z can be located in the same film layer, that is, the fingerprint recognition module 10 is integrated with the display screen of the fingerprint recognition device. For example, see reference... Figure 2 Red and green photosensitive pixels can be arranged between any two luminescent pixels. Alternatively, refer to... Figure 8 Red and white photosensitive pixels can be arranged between any two light-emitting pixels.

[0122] Continue to refer to Figure 7 Each of the plurality of first photosensitive pixels P1 and the plurality of second photosensitive pixels P2 may also include: a transmission transistor Q1, a reset transistor Q2, a source follower Q3, and a row select transistor Q4.

[0123] like Figure 7 As shown, the first terminal of the photodiode PD is connected to the ground terminal GND, and the second terminal of the photodiode PD is connected to the first terminal of the transmission transistor Q1. The gate of the transmission transistor Q1 is connected to the first signal terminal S1, and the second terminal of the transmission transistor Q1 is connected to the first terminal of the reset transistor Q2 and the gate of the source follower Q3, respectively.

[0124] The gate of the reset transistor Q2 is connected to the second signal terminal S2. The second terminal of the reset transistor Q2 and the first terminal of the source follower Q3 are both connected to the power supply terminal V1. The second terminal of the source follower Q3 is connected to the first terminal of the row select transistor Q4. The gate of the row select transistor Q4 is connected to the third signal terminal S3. The second terminal of the row select transistor Q4 is connected to the input terminal of an amplifier.

[0125] The first terminal of the photodiode (PD) can be the anode, and the second terminal can be the cathode. Furthermore, the transistors used in the embodiments of this application can all be field-effect transistors or other devices with similar characteristics. The source of these multiple transistors can be called the first terminal, and the drain the second terminal, or vice versa. Figure 7 As shown, the middle terminal of these transistors is the gate, the signal input terminal is the source, and the signal output terminal is the drain. All of these transistors can be N-type transistors. N-type transistors conduct when the gate is high and are cut off when the gate is low.

[0126] Specifically, the first signal terminal S1 is used to receive the transmission signal TX, the second signal terminal S2 is used to receive the reset signal RST, and the third signal terminal S3 is used to receive the row strobe signal SEL. The power supply terminal V1 is used to receive the drive signal VDD.

[0127] like Figure 9As shown, during the t1 period when the fingerprint recognition module 10 is not started, the driving signal VDD, the row strobe signal SEL, the reset signal RST, and the transmission signal TX transmitted to the photosensitive pixel can all be at the first level (i.e., invalid level), and all transistors in the photosensitive pixel are in the off state.

[0128] During the t2 period after the fingerprint recognition module 10 is started, the level of the drive signal VDD received by the power supply terminal V1 and the level of the row strobe signal SEL received by the third signal terminal S3 are both the second level (i.e., the effective level). At this time, the second level can be high relative to the first level. The duration of the t2 period can also be called the exposure time of the fingerprint recognition module 10.

[0129] Continue to refer to Figure 9 After the levels of the drive signal VDD and the row strobe signal SEL transition from the first level to the second level and remain at the second level for a period of time, the level of the reset signal RST received at the second signal terminal S2 transitions from the first level to the second level. At this time, the reset transistor Q2 is turned on under the drive of the reset signal RST, which in turn turns on the source follower Q3. Since the level of the row strobe signal SEL received at the gate of the row strobe transistor Q4 is the second level, the row strobe transistor Q4 can also be turned on. Based on this, the source follower Q4 can amplify the drive signal VDD provided by the power supply terminal V1 and transmit it to the row strobe transistor Q4, which can then output the reset voltage V. RS .

[0130] Continue to refer to Figure 7 and Figure 9 After the on-time of reset transistor Q2 reaches the duration corresponding to time period t21, the level of the reset signal RST received by the second signal terminal S2 changes from the second level to the first level, and reset transistor Q2 is turned off. After a period of time after reset transistor Q2 is turned off, the level of the transmission signal TX received by the first signal terminal S1 changes from the first level to the second level, and transmission transistor Q1 is turned on. Therefore, the electrical signal obtained by photoelectric conversion of the light signal reflected from the target object by photodiode PD can be transmitted to the reference point FD through transmission transistor Q2. Correspondingly, row select transistor Q4 can output signal voltage V. sig Among them, the signal voltage V output by the row selection transistor Q4 in the first photosensitive pixel P1 and the second photosensitive pixel P2 is... sig different.

[0131] After the conduction time of the transmission transistor Q1 reaches the duration corresponding to time period t22, the level of the transmission signal TX received by the first signal terminal S1 will jump from the second level to the first level, and the transmission transistor Q1 will turn off. The transmission transistor Q1 stops transmitting the electrical signal obtained by photoelectric conversion of the photodiode D. Here, time periods t21 and t22 are both two time periods within time period t2, and these two time periods do not overlap. That is, within time period t2 after the fingerprint recognition module 10 is started, the transmission transistor Q1 and the reset transistor Q2 are only conducted for a portion of the time, and the transmission transistor Q1 and the reset transistor Q2 are not conducted simultaneously.

[0132] Continue to refer to Figure 9 After the transmission transistor Q1 is turned off for a period of time, the level of the drive signal VDD received by the power supply terminal V1 and the level of the row strobe signal SEL received by the third signal terminal S3 both change from the second level to the first level. At this time, the row strobe transistor Q4 is in the off state. The fingerprint recognition module 10 completes one exposure.

[0133] It is understandable that the electrons obtained by the photodiode PD through photoelectric conversion will combine with the holes at the reference point PD terminal, thereby causing the voltage level at the reference point FD terminal to drop, and consequently, the voltage level at the first terminal of the source follower Q3 to drop. Therefore, during the t2 period after the fingerprint recognition module 10 is started, the change in voltage at the reference point FD terminal (i.e., the change in voltage level) is the number of electrons obtained by the photodiode PD in the photosensitive pixel through photoelectric conversion (i.e., the generated electrical signal). Therefore, when the electrical signal generated by the photosensitive pixel is output to the amplifier 12 in the form of a voltage, the electrical signal V... out It can be represented as: V out =(V RS -V sig *Gpixel. Here, Gpixel refers to the amplification gain of the source follower Q3. The amplification gain of the source follower Q3 is the same for both the first photosensitive pixel P1 and the second photosensitive pixel P2.

[0134] Optionally, such as Figure 5 and Figure 6 As shown, the fingerprint recognition module 10 may also include a control circuit 15, which can provide driving signals and control signals to the plurality of photosensitive pixels so that the plurality of photosensitive pixels can perform photoelectric conversion on the reflected light beam and output electrical signals line by line.

[0135] The control circuit 15 can be connected to the power supply terminal V1, the first signal terminal S1, the second signal terminal S2, and the third signal terminal S3 of the photosensitive pixel. The control circuit 15 can provide a transmission signal TX to the transmission transistor Q1 via the first signal terminal S1, a reset signal RST to the reset transistor Q2 via the second signal terminal S2, a row selection signal SEL to the row selection transistor Q4 via the third signal terminal S3, and a drive signal VDD to the reset transistor Q2 via the power supply terminal V1.

[0136] In summary, this application provides a fingerprint recognition module. This module includes multiple first photosensitive pixels for photoelectric conversion of light of a first color reflected by a target object, and multiple second photosensitive pixels for photoelectric conversion of light of a second color reflected by the target object. Furthermore, the proportions of the first and second colors of light reflected by the target object are different, and / or the photoelectric conversion efficiencies of the first and second photosensitive pixels are different. Therefore, based on the light signals collected by the multiple first and second photosensitive pixels, two fingerprint recognition images with different intensities can be generated. If the fingerprint recognition device determines that one fingerprint recognition image fails, it can use the other fingerprint recognition image for recognition without requiring the fingerprint recognition module to re-expose, thereby effectively improving the efficiency of fingerprint recognition.

[0137] Figure 10 This is a flowchart illustrating a fingerprint recognition method provided in an embodiment of this application. This method can be applied to fingerprint recognition devices, for example, to... Figure 1 The fingerprint recognition device shown. Figure 1 As shown, the fingerprint recognition device 20 is connected to the fingerprint recognition module 10, as follows: Figure 10 As shown, the method includes:

[0138] Step 101: Obtain the initial fingerprint recognition image captured by the fingerprint recognition module.

[0139] When a fingerprint recognition device performs fingerprint recognition, the light-emitting pixels located in the fingerprint recognition area emit a light beam. Multiple photosensitive pixels in the fingerprint recognition module receive the light beam reflected by the target object (e.g., the user's finger) and perform photoelectric conversion on the reflected beam to obtain an electrical signal. Then, the fingerprint recognition module generates an initial fingerprint recognition image based on the electrical signals collected by the multiple photosensitive pixels. Accordingly, the fingerprint recognition device acquires the initial fingerprint recognition image collected by the fingerprint recognition module. This initial fingerprint recognition image includes multiple image pixels arranged in an array, and the pixel value of each image pixel is generated based on the light signal collected by one photosensitive pixel in the fingerprint recognition module.

[0140] Step 102: Divide the initial fingerprint recognition image into a first fingerprint recognition image and a second fingerprint recognition image.

[0141] The first fingerprint recognition image includes multiple first image pixels, and the second fingerprint recognition image includes multiple second image pixels. The pixel values ​​of the multiple first image pixels are generated based on the light signals collected by the multiple first photosensitive pixels in the fingerprint recognition module, and the pixel values ​​of the multiple second image pixels are generated based on the light signals collected by the multiple second photosensitive pixels in the fingerprint recognition module.

[0142] Example, reference Figure 3 The fingerprint recognition module may include multiple first pixel groups and multiple second pixel groups. Each first pixel group includes multiple first photosensitive pixels arranged along a second direction, and each second pixel group includes multiple second photosensitive pixels arranged along a second direction. The first photosensitive pixels are used to perform photoelectric conversion on light of a first color reflected by the target object and generate a first image pixel. The second photosensitive pixels are used to perform photoelectric conversion on light of a second color reflected by the target object and generate a second image pixel.

[0143] It is understandable that the color of the light beam generated by the photoelectric conversion of multiple first photosensitive pixels in the fingerprint recognition module is different from the color of the light beam generated by the photoelectric conversion of multiple second photosensitive pixels, and the number of electrons obtained by the photoelectric conversion of multiple first photosensitive pixels is different from the number of electrons obtained by multiple second photosensitive pixels. Therefore, the pixel value intensity of the first image pixel generated based on the light signal collected by the first photosensitive pixel is different from the pixel value intensity of the second image pixel generated based on the light signal collected by the second photosensitive pixel. Here, pixel value intensity can refer to the intensity relationship between pixel value and light signal; that is, when the light signal reflected to each photosensitive pixel in the fingerprint recognition module is the same, image pixels with different pixel value intensities have different pixel values.

[0144] Accordingly, a first fingerprint recognition image can be generated based on the plurality of first image pixels, and a second fingerprint recognition image can be generated based on the plurality of second image pixels, with the two fingerprint recognition images having different intensities. That is, based on the light signal collected by the fingerprint recognition module during a single exposure, two fingerprint recognition images with different intensities can be generated.

[0145] Furthermore, refer to Figure 3 and Figure 4The plurality of first photosensitive pixels corresponding to the plurality of first image pixels included in the first fingerprint recognition image may be photosensitive pixels located in odd-numbered rows (or odd-numbered columns) of the fingerprint recognition module, and the plurality of first photosensitive pixels included in each odd-numbered row (or odd-numbered column) are continuous in the second direction. The plurality of second photosensitive pixels corresponding to the plurality of second image pixels included in the second fingerprint recognition image may be photosensitive pixels located in even-numbered rows (or even-numbered columns) of the fingerprint recognition module, and the plurality of second photosensitive pixels included in each even-numbered row (or even-numbered column) are continuous in the second direction.

[0146] Based on this, the multiple first image pixels corresponding to the multiple first photosensitive pixels, and the multiple second image pixels corresponding to the multiple second photosensitive pixels, are also continuous in the second direction. Therefore, for each first image pixel in the multiple first image pixels included in the first fingerprint recognition image, there is a strong correlation between this first image pixel and its two adjacent first image pixels in the second direction. Correspondingly, for each second image pixel in the multiple second image pixels included in the second fingerprint recognition image, there is a strong correlation between this second image pixel and its two adjacent second image pixels in the second direction. The correlation between image pixels can refer to the correlation or continuity of the pixel content of the image pixels.

[0147] Step 103: Perform fingerprint recognition on the first fingerprint recognition image and the second fingerprint recognition image.

[0148] In this embodiment, the fingerprint recognition device pre-stores a fingerprint template. The fingerprint recognition device compares a first fingerprint image and a second fingerprint image with the fingerprint template to determine whether they match. If the fingerprint recognition device detects that either the first or second fingerprint image matches the fingerprint template, it determines that the fingerprint recognition is successful. If the fingerprint recognition device detects that neither the first nor the second fingerprint image matches the fingerprint template, it determines that the fingerprint recognition has failed.

[0149] Understandably, if a fingerprint recognition device determines that one frame of fingerprint recognition image has failed, it can use another frame of fingerprint recognition image for fingerprint recognition without requiring the fingerprint recognition module 10 to collect the fingerprint recognition image again. This further improves fingerprint recognition efficiency.

[0150] It is also understood that, due to the strong correlation between the multiple first image pixels included in the first fingerprint recognition image, and the strong correlation between the multiple second image pixels included in the second fingerprint recognition image, both the first and second fingerprint recognition images can accurately reflect the user's fingerprint information. Therefore, the fingerprint recognition device can accurately perform fingerprint recognition based on the first and second fingerprint images, thereby ensuring the reliability of fingerprint recognition.

[0151] In summary, this application provides a fingerprint recognition method applied to a fingerprint recognition device. This fingerprint recognition device can acquire an initial fingerprint image collected by a fingerprint recognition module and divide the initial fingerprint image into a first fingerprint image and a second fingerprint image. Then, the fingerprint recognition device can perform fingerprint recognition on the first and second fingerprint images. Since the fingerprint recognition device can perform fingerprint recognition based on two frames of fingerprint images, if the fingerprint recognition device determines that one frame of fingerprint recognition has failed, it can use the other frame of fingerprint recognition for fingerprint recognition without requiring the fingerprint recognition module to collect fingerprint images again. This effectively improves fingerprint recognition efficiency.

[0152] Figure 11 This is a flowchart illustrating a fingerprint recognition method provided in an embodiment of this application. This method can be applied to fingerprint recognition devices, for example, to... Figure 1 The fingerprint recognition device shown. Figure 1 As shown, the fingerprint recognition device 20 is connected to the fingerprint recognition module 10, as follows: Figure 11 As shown, the method includes:

[0153] Step 201: Obtain the initial fingerprint recognition image captured by the fingerprint recognition module.

[0154] When a fingerprint recognition device performs fingerprint recognition, the light-emitting pixels located in the fingerprint recognition area emit a light beam. Multiple photosensitive pixels in the fingerprint recognition module receive the light beam reflected from the target object and perform photoelectric conversion on the reflected beam to obtain an electrical signal. Then, the fingerprint recognition module can generate an initial fingerprint recognition image based on the electrical signals collected by the multiple photosensitive pixels. Accordingly, the fingerprint recognition device can acquire the initial fingerprint recognition image collected by the fingerprint recognition module.

[0155] The initial fingerprint recognition image may include multiple first image pixels and multiple second image pixels arranged in an array. The pixel values ​​of the multiple first image pixels are generated based on the light signals collected by the multiple first photosensitive pixels in the fingerprint recognition module, and the pixel values ​​of the multiple second image pixels are generated based on the light signals collected by the multiple second photosensitive pixels in the fingerprint recognition module.

[0156] The first photosensitive pixel is used to perform photoelectric conversion on light of a first color reflected by the target object, and the second photosensitive pixel is used to perform photoelectric conversion on light of a second color reflected by the target object. Optionally, the first color can be red, and the second color can be green or white. The first photosensitive pixel can be called a red photosensitive pixel. The second photosensitive pixel can be called a green photosensitive pixel or a white photosensitive pixel.

[0157] Step 202: Detect whether the signal value of the first electrical signal output by at least one of the multiple first photosensitive pixels is greater than the first threshold.

[0158] After acquiring an initial fingerprint recognition image, the fingerprint recognition device can detect the signal value of a first electrical signal output by at least one of the multiple first photosensitive pixels, and detect whether the signal value of the first electrical signal is greater than a first threshold. If the signal value of the first electrical signal is greater than the first threshold, the fingerprint recognition device can perform step 203. If the signal value of the first electrical signal is less than or equal to the first threshold, the fingerprint recognition device can determine that the initial fingerprint recognition image has failed the anti-counterfeiting verification, and perform step 204. Anti-counterfeiting verification of the initial fingerprint recognition image can refer to detecting whether the fingerprint in the initial fingerprint recognition image is a genuine finger fingerprint.

[0159] The signal value of the first electrical signal output by the first photosensitive pixel can refer to the voltage value of the electrical signal output after photoelectric conversion by the first photosensitive pixel. The first threshold can be a fixed value pre-stored in the fingerprint recognition device. The fingerprint recognition device can arbitrarily select one or more first image pixels from the plurality of first image pixels included in the initial fingerprint recognition image. Then, the fingerprint recognition device can detect whether the signal value of the first electrical signal output by the first photosensitive pixel corresponding to the first image pixel is greater than the first threshold, or detect whether the average of the signal values ​​of the first electrical signals output by the plurality of first photosensitive pixels corresponding to the plurality of first image pixels is greater than the first threshold.

[0160] It is understandable that the target object detected by the fingerprint recognition device can be the user's finger. Red-colored targets (such as a real finger or a red simulated finger) have a stronger ability to reflect red light from the light beam emitted by the fingerprint recognition area. Non-red-colored targets (such as a black simulated finger) have a weaker ability to reflect red light. Accordingly, when a red-colored target comes into contact with the fingerprint recognition area, the intensity of the red reflected light received by the first photosensitive pixel (i.e., the red photosensitive pixel) is stronger than the intensity of the red reflected light received by the first photosensitive pixel when a non-red-colored target comes into contact with the fingerprint recognition area. Based on this, the signal value of the first electrical signal output by the first photosensitive pixel when a red-colored target comes into contact with the fingerprint recognition area is greater than the signal value of the first electrical signal output by the first photosensitive pixel when a non-red-colored target comes into contact with the fingerprint recognition area.

[0161] Based on the above analysis, it can be seen that when the target object comes into contact with the fingerprint recognition area, the fingerprint recognition device can detect whether the signal value of the first electrical signal output by the first photosensitive pixel corresponding to at least one first image pixel is greater than the first threshold, and perform anti-counterfeiting recognition on the initial fingerprint recognition image output by the fingerprint recognition module.

[0162] Step 203: Detect whether the ratio of the signal value of the first electrical signal to the signal value of the second electrical signal output by at least one of the multiple second photosensitive pixels is less than a second threshold.

[0163] In step 202 above, if the fingerprint recognition device detects that the signal value of the first electrical signal is greater than the first threshold, it can determine that the color of the target object in contact with the fingerprint recognition area is red. Based on this, the fingerprint recognition device can further detect whether the ratio of the signal value of the first electrical signal to the signal value of the second electrical signal output by at least one of the multiple second photosensitive pixels is less than the second threshold. If the fingerprint recognition device detects that the ratio of the signal value of the first electrical signal to the information value of the second electrical signal is less than the second threshold, it can determine that the anti-counterfeiting verification of the initial fingerprint recognition image has passed, and can execute step 205 below. If the fingerprint recognition device detects that the ratio of the signal value of the first electrical signal to the information value of the second electrical signal is less than the second threshold, it can determine that the anti-counterfeiting verification of the initial fingerprint recognition image has failed, and can execute step 204 below.

[0164] Understandably, for red-themed targets (such as a real red finger and a fake red finger), the color of a real finger is not the red defined in the optical system (fingers are generally skin-colored); that is, the color of a real finger contains other colors besides red. Therefore, the intensity of red reflected light in the beam of light reflected from the fake red finger to the first photosensitive pixel is stronger than the intensity of red reflected light in the beam of light reflected from the real red finger to the first photosensitive pixel. Furthermore, the intensity of green (or white) reflected light in the beam of light reflected from the fake red finger to the second photosensitive pixel (i.e., the green or white photosensitive pixel) is less than the intensity of green (or white) reflected light in the beam of light reflected from the real red finger to the second photosensitive pixel.

[0165] Based on the above analysis, it can be seen that when a red-colored fake finger touches the fingerprint recognition area, the ratio of the signal values ​​of the first and second electrical signals is greater than the ratio when a real finger touches the fingerprint recognition area. Therefore, the fingerprint recognition device can detect whether this ratio is less than a second threshold to determine whether the target object is a real finger.

[0166] In this embodiment, the fingerprint recognition device can select at least one second photosensitive pixel based on at least one first photosensitive pixel selected in step 202 above. The second photosensitive pixel can be a photosensitive pixel adjacent to the first photosensitive pixel. This ensures that the selected second photosensitive pixel has a strong correlation with the first photosensitive pixel.

[0167] Step 204: End fingerprint recognition operation.

[0168] In steps 202 and 203 above, if the fingerprint recognition device detects that the anti-counterfeiting verification of the initial fingerprint image has failed, it can determine that the probability of the target object being the user's finger is low. Therefore, the fingerprint recognition device can terminate the fingerprint recognition operation. This avoids fingerprint recognition operations caused by other objects accidentally touching the fingerprint recognition area of ​​the device, effectively ensuring the reliability of fingerprint recognition.

[0169] Step 205: Divide the initial fingerprint recognition image into a first intermediate fingerprint image and a second intermediate fingerprint image.

[0170] In step 203 above, if the fingerprint recognition device detects that the anti-counterfeiting verification of the initial fingerprint recognition image has passed, it can determine that the target object is a genuine finger. Therefore, the fingerprint recognition device can further perform fingerprint recognition on the fingerprint in the initial fingerprint recognition image. Based on this, the fingerprint recognition device can first divide multiple first image pixels among the multiple image pixels included in the initial fingerprint recognition image into a first intermediate fingerprint image, and divide multiple second image pixels among the multiple image pixels into a second intermediate fingerprint image.

[0171] It is understandable that in the light reflected by the target object, the proportions of the first color light and the second color light are different, and / or, the photoelectric conversion efficiencies of the first photosensitive pixel and the second photosensitive pixel are different. Therefore, the number of electrons obtained by the first photosensitive pixel and the second photosensitive pixel through photoelectric conversion is different, resulting in a difference in pixel value intensity between the first image pixel generated based on the light signal collected by the first photosensitive pixel and the second image pixel generated based on the light signal collected by the second photosensitive pixel. Here, pixel value intensity can refer to the intensity relationship between pixel value and light signal; that is, for the same magnitude of light signal reflected to multiple photosensitive pixels, image pixels with different pixel value intensities will have different pixel values.

[0172] Accordingly, a first intermediate fingerprint image can be generated based on these multiple first image pixels, and its intensity differs from that of a second intermediate fingerprint image generated based on these multiple second image pixels. That is, based on the light signal collected by the fingerprint recognition module during a single exposure, two fingerprint recognition images with different intensities can be generated.

[0173] The plurality of first image pixels can be image pixels located in odd-numbered rows of the initial fingerprint recognition image, and the plurality of second image pixels can be image pixels located in even-numbered rows of the initial fingerprint recognition image. Alternatively, the plurality of first image pixels can be image pixels located in odd-numbered columns of the initial fingerprint recognition image, and the plurality of second image pixels can be image pixels located in even-numbered columns of the initial fingerprint recognition image. Furthermore, the resolution of the first intermediate fingerprint image and the second intermediate fingerprint image can be the same, and the resolution of both the first intermediate fingerprint image and the second intermediate fingerprint image can be less than the resolution of the initial fingerprint recognition image.

[0174] Based on the above analysis, it can be seen that the fingerprint recognition device can divide the image pixels located in different rows or columns of the initial fingerprint recognition image into different intermediate fingerprint images for fingerprint recognition. Since the image pixels in each row or column of each intermediate fingerprint image are continuous, that is, there is a strong correlation between the image pixels, the intermediate fingerprint image can facilitate fingerprint recognition by the fingerprint recognition device.

[0175] In related technologies, to achieve anti-counterfeiting verification of a target object by a fingerprint recognition module, the fingerprint recognition module may further include multiple color filters (CFs). These multiple color filters are discretely distributed within the pixel area used to arrange photosensitive pixels in the fingerprint recognition module, and these multiple color filters cover a portion of the photosensitive pixels. By filtering the light beam reflected from the target object, these multiple color filters enable the color of the reflected light received by some photosensitive pixels of the fingerprint recognition module to be different from the color of the reflected light received by other photosensitive pixels. Correspondingly, the number of electrons generated by the photoelectric conversion of these photosensitive pixels is different from the number of electrons generated by other photosensitive pixels. The fingerprint recognition device can perform anti-counterfeiting verification on the initial fingerprint recognition image based on the signal values ​​of the electrical signals output by these photosensitive pixels and the signal values ​​of the electrical signals output by other photosensitive pixels.

[0176] However, the photosensitive pixels covered by the multiple color filters are not continuously distributed. Therefore, the correlation between the individual image pixels in the fingerprint recognition image formed by the image pixels corresponding to these photosensitive pixels is poor, and it cannot be applied to fingerprint recognition.

[0177] In the solution provided in this application, the pixels in each row or column of the initial fingerprint recognition image acquired by the fingerprint recognition module are continuous, meaning there is a strong correlation between the image pixels. Therefore, this initial fingerprint recognition image can be used not only for anti-counterfeiting verification but also for fingerprint recognition.

[0178] Step 206: Interpolate the first intermediate fingerprint image to obtain the first fingerprint recognition image.

[0179] In this embodiment, the fingerprint recognition device may pre-store an interpolation algorithm. The fingerprint recognition device can use the interpolation algorithm to interpolate the first intermediate fingerprint image to obtain the first fingerprint recognition image.

[0180] It is understood that the first intermediate fingerprint image only includes the first image pixels from the initial fingerprint recognition image. That is, the first intermediate fingerprint image only includes a portion of the fingerprint features of the user's finger. Therefore, the fingerprint recognition device cannot perform accurate fingerprint recognition based on this first intermediate fingerprint image. The fingerprint recognition device performs interpolation processing on the first intermediate fingerprint image to ensure that the resulting first fingerprint recognition image contains more comprehensive fingerprint features, thereby ensuring that the fingerprint recognition device can recognize the fingerprint from this first fingerprint recognition image.

[0181] Optionally, the interpolation algorithm can be one of the nearest neighbor interpolation algorithm, bilinear interpolation algorithm, and bicubic interpolation algorithm.

[0182] Step 207: Interpolate the second intermediate fingerprint image to obtain the second fingerprint recognition image.

[0183] The resolution of both the first and second fingerprint recognition images is the same as that of the initial fingerprint recognition image. The implementation process of step 207 can refer to the implementation process of step 206 described above.

[0184] Step 208: Perform image fusion on the first fingerprint recognition image and the second fingerprint recognition image to obtain a fused fingerprint recognition image.

[0185] In this embodiment, the fingerprint recognition device may also store an image fusion algorithm. The fingerprint recognition device may also use this image fusion algorithm to fuse the first fingerprint recognition image and the second fingerprint recognition image to obtain a fused fingerprint recognition image. The resolution of the fused fingerprint recognition image is the same as the resolution of the initial fingerprint recognition image.

[0186] It is understandable that fingerprint recognition devices can enhance the fingerprint information in the first and second fingerprint images by fusing them. This results in a better display effect for the fused fingerprint image, facilitating fingerprint recognition by the device.

[0187] Step 209: Perform fingerprint recognition on the first fingerprint image, the second fingerprint image, and the fused fingerprint image in order of image quality from high to low.

[0188] In this embodiment, the fingerprint recognition device pre-stores fingerprint templates. When performing fingerprint recognition, the device compares the first fingerprint image, the second fingerprint image, and the fused fingerprint image with the fingerprint template in descending order of image quality to determine whether the fingerprint image matches the template. Specifically, the fingerprint recognition device can determine whether the fingerprint image matches the fingerprint template based on the similarity between the fingerprint image and the fingerprint template. For example, if the fingerprint recognition device determines that the similarity between a certain frame of fingerprint image and the fingerprint template is greater than a similarity threshold, then it can determine that the frame of fingerprint image matches the fingerprint template.

[0189] It is understandable that when the fingerprint in the fingerprint recognition image and the fingerprint template are both from the same user, the higher the quality of the fingerprint recognition image, the higher the similarity between the fingerprint recognition image and the fingerprint template, and thus the higher the probability of the fingerprint recognition image matching the fingerprint template. The image quality can include at least one of the following: the clarity of the fingerprint recognition image, the vibrancy of the fingerprint recognition image, and the intensity of the fingerprint recognition image.

[0190] Step 210: If the identified fingerprint image matches the fingerprint template stored in the fingerprint recognition device, then stop fingerprint recognition of other fingerprint images.

[0191] If a fingerprint recognition device matches a fingerprint template stored in it during the fingerprint recognition process, it can determine that the fingerprint recognition is successful and stop recognizing other fingerprint images.

[0192] Understandably, since the fingerprint recognition device performs fingerprint recognition on the first fingerprint image, the second fingerprint image, and the fused fingerprint image in descending order of image quality, and higher quality fingerprint images are easier for the fingerprint recognition device to process, it can effectively improve fingerprint recognition efficiency. Furthermore, when the highest quality fingerprint image does not match the fingerprint template, the fingerprint recognition device can use other fingerprint images for fingerprint recognition without requiring the fingerprint recognition module to re-acquire the fingerprint image, further improving fingerprint recognition efficiency.

[0193] It is also understood that the order of the steps in the fingerprint recognition method provided in this application embodiment can be appropriately adjusted, and the steps can be added or removed as needed. For example, steps 202 and 203 can be deleted as needed, that is, the fingerprint recognition device may not perform anti-counterfeiting verification on the initial fingerprint recognition image. Alternatively, steps 205 to 210 can be executed before step 203, that is, the fingerprint recognition device can perform fingerprint recognition first, and perform anti-counterfeiting verification on the initial fingerprint recognition image when the fingerprint recognition is successful. If the anti-counterfeiting verification of the initial fingerprint recognition image passes, the fingerprint recognition device can determine that the user's identity verification is successful. If the anti-counterfeiting verification of the initial fingerprint recognition image fails, the fingerprint recognition device can determine that the user's identity verification is unsuccessful. Furthermore, when the fingerprint recognition device performs fingerprint recognition based on the initial fingerprint recognition image, if it determines that the fingerprint recognition has failed, it can execute step 204, that is, end the fingerprint recognition operation, without needing to perform anti-counterfeiting verification on the initial fingerprint recognition image again.

[0194] Alternatively, step 205 can be executed simultaneously with step 203, meaning the fingerprint recognition device can perform fingerprint recognition and anti-counterfeiting verification simultaneously. If the fingerprint recognition device determines that fingerprint recognition is successful and the anti-counterfeiting verification of the initial fingerprint image is passed based on the initial fingerprint image, then the user's identity verification is successful. If the fingerprint recognition device determines that fingerprint recognition has failed or the anti-counterfeiting verification of the initial fingerprint image has failed based on the initial fingerprint image, then the user's identity verification is unsuccessful.

[0195] Alternatively, step 207 can be performed before or simultaneously with step 206. Alternatively, steps 206 and / or 207 can be omitted depending on the situation; that is, the fingerprint recognition device can directly fuse the first intermediate fingerprint image and the second intermediate fingerprint image to obtain a fused fingerprint recognition image, and perform recognition based on the first intermediate fingerprint image, the second intermediate fingerprint image, and the fused fingerprint recognition image.

[0196] Alternatively, step 208 can be omitted depending on the situation; that is, the fingerprint recognition device can simply recognize the first fingerprint image and the first fingerprint recognition image. Any variations that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the protection scope of this application, and therefore will not be elaborated further.

[0197] In summary, this application provides a fingerprint recognition method applied to a fingerprint recognition device. This fingerprint recognition device can acquire an initial fingerprint image collected by a fingerprint recognition module and divide the initial fingerprint image into a first fingerprint image and a second fingerprint image. Then, the fingerprint recognition device can perform fingerprint recognition on the first and second fingerprint images. Since the fingerprint recognition device can perform fingerprint recognition based on two frames of fingerprint images, if the fingerprint recognition device determines that one frame of fingerprint recognition has failed, it can use the other frame of fingerprint recognition for fingerprint recognition without requiring the fingerprint recognition module to collect fingerprint images again. This effectively improves fingerprint recognition efficiency.

[0198] Figure 12 This is a schematic diagram of the structure of a fingerprint recognition device provided in an embodiment of this application. This fingerprint recognition device can execute the fingerprint recognition method provided in the above-described method embodiment. The fingerprint recognition device can be... Figure 1 The fingerprint recognition device 20 in the fingerprint recognition device shown. (For example...) Figure 1 As shown, the fingerprint recognition device 20 is connected to the fingerprint recognition module 10. (Reference) Figure 12 The fingerprint recognition device 20 includes:

[0199] The acquisition module 21 is used to acquire the initial fingerprint recognition image collected by the fingerprint recognition module 10. The initial fingerprint recognition image includes multiple image pixels arranged in an array, and the pixel value of each image pixel is generated based on the light signal collected by a photosensitive pixel in the fingerprint recognition module.

[0200] The segmentation module 22 is used to segment the initial fingerprint recognition image into a first fingerprint recognition image and a second fingerprint recognition image. The first fingerprint recognition image includes multiple first image pixels, and the second fingerprint recognition image includes multiple second image pixels. The pixel values ​​of the multiple first image pixels are generated based on the light signals collected by multiple first photosensitive pixels P1 in the fingerprint recognition module 10, and the pixel values ​​of the multiple second image pixels are generated based on the light signals collected by multiple second photosensitive pixels P2 in the fingerprint recognition module 10.

[0201] The recognition module 23 is used to perform fingerprint recognition on the first fingerprint recognition image and the second fingerprint recognition image.

[0202] Optionally, the first photosensitive pixel P1 is used to perform photoelectric conversion on light of a first color reflected by the target object, and the second photosensitive pixel P2 is used to perform photoelectric conversion on light of a second color reflected by the target object, wherein the first color is red and the second color is green or white.

[0203] The partitioning module 22 is used to determine that the initial fingerprint recognition image has passed the anti-counterfeiting verification if the signal value of the first electrical signal output by at least one of the plurality of first photosensitive pixels P1 is greater than a first threshold, and the ratio of the signal value of the first electrical signal to the signal value of the second electrical signal output by at least one of the plurality of second photosensitive pixels P2 is less than a second threshold, and then partition the initial fingerprint recognition image into a first fingerprint recognition image and a second fingerprint recognition image.

[0204] The partitioning module 22 is also used to determine that the initial fingerprint recognition image has failed the anti-counterfeiting verification and to end the fingerprint recognition operation if the signal value of the first electrical signal is less than or equal to the first threshold, or the ratio is greater than or equal to the second threshold.

[0205] Optionally, the segmentation module 22 is configured to: divide the initial fingerprint recognition image into a first intermediate fingerprint image and a second intermediate fingerprint image, wherein the first intermediate fingerprint image includes multiple first image pixels and the second intermediate fingerprint image includes multiple second image pixels; perform interpolation processing on the first intermediate fingerprint image to obtain a first fingerprint recognition image; and perform interpolation processing on the second intermediate fingerprint image to obtain a second fingerprint recognition image. The resolution of both the first and second fingerprint recognition images is the same as the resolution of the initial fingerprint recognition image.

[0206] Optionally, the recognition module 23 is used to: fuse the first fingerprint recognition image and the second fingerprint recognition image to obtain a fused fingerprint recognition image; and perform fingerprint recognition on the first fingerprint recognition image, the second fingerprint recognition image, and the fused fingerprint recognition image.

[0207] Optionally, the recognition module 23 is configured to: perform fingerprint recognition on the first fingerprint image and the second fingerprint image in descending order of image quality. If the recognized fingerprint image matches a fingerprint template stored in the fingerprint recognition device, then fingerprint recognition on other fingerprint images is stopped.

[0208] In summary, this application provides a fingerprint recognition device. This device acquires an initial fingerprint image collected by a fingerprint recognition module and divides it into a first fingerprint image and a second fingerprint image. The device then performs fingerprint recognition on both the first and second fingerprint images. Since the device can perform fingerprint recognition based on two frames of images, if it determines that one frame fails, it can use the other frame without requiring the fingerprint recognition module to collect the image again. This effectively improves fingerprint recognition efficiency.

[0209] It is understood that the fingerprint recognition device provided in the above embodiments is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the fingerprint recognition device can be divided into different functional modules to complete all or part of the functions described above.

[0210] Furthermore, the fingerprint recognition device provided in the above embodiments belongs to the same concept as the fingerprint recognition method embodiments, and its specific implementation process can be found in the method embodiments, which will not be repeated here.

[0211] Figure 13 This is a schematic diagram of the structure of another fingerprint recognition device provided in the embodiments of this application, as shown below. Figure 13 As shown, the fingerprint recognition device 20 includes a processor 20a and a memory 20b. The memory 20b stores instructions, which are loaded and executed by the processor 20a to implement the fingerprint recognition method provided in the above-described method embodiments (e.g., Figure 10 or Figure 11 (The method shown).

[0212] This application provides a computer-readable storage medium storing instructions that are loaded and executed by a processor to implement a fingerprint recognition method as provided in the above method embodiments (e.g., ...). Figure 10 or Figure 11 (The method shown).

[0213] This application provides a computer program product including computer instructions, which are loaded and executed by a processor to implement the fingerprint recognition method provided in the above method embodiments (e.g., ...). Figure 10 or Figure 11 (The method shown).

[0214] It is understood that in this application, the term "at least one" means one or more, and "multiple" means two or more.

[0215] In this article, "and / or" indicates that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0216] In this application, the terms "first," "second," etc., are used to distinguish identical or similar items with essentially the same function. It should be understood that there is no logical or temporal dependency between "first," "second," and "nth," nor are there any restrictions on quantity or execution order.

[0217] The above are merely exemplary embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application shall be included within the protection scope of this application.

Claims

1. A fingerprint recognition module, characterized in that, The fingerprint recognition module includes: a plurality of first pixel groups and a plurality of second pixel groups, wherein the plurality of first pixel groups and the plurality of second pixel groups are arranged alternately along a first direction; Each first pixel group includes a plurality of first photosensitive pixels arranged along a second direction, and each second pixel group includes a plurality of second photosensitive pixels arranged along a second direction, the second direction intersecting the first direction; Wherein, the first photosensitive pixel is used to perform photoelectric conversion on light of a first color reflected by the target object, and the second photosensitive pixel is used to perform photoelectric conversion on light of a second color reflected by the target object, wherein the second color is different from the first color; In the light reflected by the target object, the proportion of the first color light and the proportion of the second color light are different, and the photoelectric conversion efficiency of the first photosensitive pixel and the second photosensitive pixel are different. In one exposure process of the fingerprint recognition module, the light signal collected by the first photosensitive pixel is used to generate a first fingerprint recognition image, and the light signal collected by the second photosensitive pixel is used to generate a second fingerprint recognition image. The intensity of the first fingerprint recognition image and the second fingerprint recognition image are different.

2. The fingerprint recognition module according to claim 1, characterized in that, The first color is red, and the second color is either green or white.

3. The fingerprint recognition module according to claim 1, characterized in that, The first direction is the row direction, the second direction is the column direction, each first pixel group includes a column of first photosensitive pixels located in odd-numbered columns, and each second pixel group includes a column of second photosensitive pixels located in even-numbered columns.

4. The fingerprint recognition module according to claim 1, characterized in that, The first direction is the column direction, the second direction is the row direction, each first pixel group includes a row of first photosensitive pixels located in odd-numbered rows, and each second pixel group includes a row of second photosensitive pixels located in even-numbered rows.

5. The fingerprint recognition module according to any one of claims 1 to 4, characterized in that, The fingerprint recognition module also includes: multiple amplifiers; The plurality of amplifiers correspond one-to-one with the multiple columns of photosensitive pixels in the fingerprint recognition module, wherein each amplifier is connected to a corresponding column of photosensitive pixels, and the amplifier is used to amplify the electrical signal generated by the column of photosensitive pixels.

6. The fingerprint recognition module according to any one of claims 1 to 4, characterized in that, Each of the plurality of first photosensitive pixels and the plurality of second photosensitive pixels includes: a photodiode, a transmission transistor, a reset transistor, a source follower, and a row selector transistor; The first end of the photodiode is connected to the ground terminal, and the second end of the photodiode is connected to the first terminal of the transmission transistor; The gate of the transmission transistor is connected to the first signal terminal, and the second terminal of the transmission transistor is connected to the first terminal of the reset transistor and the gate of the source follower, respectively. The gate of the reset transistor is connected to the second signal terminal, the second terminal of the reset transistor and the first terminal of the source follower are both connected to the power supply terminal, and the second terminal of the source follower is connected to the first terminal of the row select transistor. The gate of the row select transistor is connected to the third signal terminal, and the second terminal of the row select transistor is connected to the input terminal of an amplifier.

7. The fingerprint recognition module according to any one of claims 1 to 4, characterized in that, The fingerprint recognition module also includes: multiple analog-to-digital converters; The plurality of analog-to-digital converters correspond one-to-one with the multiple columns of photosensitive pixels in the fingerprint recognition module, wherein each analog-to-digital converter is connected to an amplifier connected to a corresponding column of photosensitive pixels, and each analog-to-digital converter is used to perform analog-to-digital conversion on the amplified electrical signal.

8. A fingerprint recognition method, characterized in that, The method is applied to a fingerprint recognition device, wherein the fingerprint recognition device is connected to a fingerprint recognition module as described in any one of claims 1 to 7; the method includes: The initial fingerprint recognition image acquired by the fingerprint recognition module during a single exposure is obtained. The initial fingerprint recognition image includes multiple image pixels arranged in an array. The pixel value of each image pixel in the multiple image pixels is generated based on the light signal acquired by a photosensitive pixel in the fingerprint recognition module. The initial fingerprint recognition image is divided into a first fingerprint recognition image and a second fingerprint recognition image. The first fingerprint recognition image includes a plurality of first image pixels, and the second fingerprint recognition image includes a plurality of second image pixels. The pixel values ​​of the plurality of first image pixels are generated based on the light signals collected by the plurality of first photosensitive pixels in the fingerprint recognition module, and the pixel values ​​of the plurality of second image pixels are generated based on the light signals collected by the plurality of second photosensitive pixels in the fingerprint recognition module. Fingerprint recognition is performed on the first fingerprint recognition image and the second fingerprint recognition image.

9. The method according to claim 8, characterized in that, The first photosensitive pixel is used to perform photoelectric conversion on light of a first color reflected by the target object, and the second photosensitive pixel is used to perform photoelectric conversion on light of a second color reflected by the target object. The first color is red, and the second color is green or white. The step of dividing the initial fingerprint recognition image into a first fingerprint recognition image and a second fingerprint recognition image includes: If the signal value of the first electrical signal output by at least one of the plurality of first photosensitive pixels is greater than a first threshold, and the ratio of the signal value of the first electrical signal to the signal value of the second electrical signal output by at least one of the plurality of second photosensitive pixels is less than a second threshold, then the initial fingerprint recognition image is determined to have passed the anti-counterfeiting verification, and the initial fingerprint recognition image is divided into a first fingerprint recognition image and a second fingerprint recognition image. The method further includes: If the signal value of the first electrical signal is less than or equal to the first threshold, or the ratio is greater than or equal to the second threshold, then it is determined that the initial fingerprint recognition image has failed the anti-counterfeiting verification, and the fingerprint recognition operation is terminated.

10. The method according to claim 8, characterized in that, The step of dividing the initial fingerprint recognition image into a first fingerprint recognition image and a second fingerprint recognition image includes: The initial fingerprint recognition image is divided into a first intermediate fingerprint image and a second intermediate fingerprint image. The first intermediate fingerprint image includes the plurality of first image pixels, and the second intermediate fingerprint image includes the plurality of second image pixels. The first intermediate fingerprint image is interpolated to obtain the first fingerprint recognition image; The second intermediate fingerprint image is interpolated to obtain the second fingerprint recognition image; The resolution of both the first fingerprint recognition image and the second fingerprint recognition image is the same as that of the initial fingerprint recognition image.

11. The method according to claim 8, characterized in that, The fingerprint recognition process involving the first fingerprint image and the second fingerprint image includes: The first fingerprint recognition image and the second fingerprint recognition image are fused to obtain a fused fingerprint recognition image; Fingerprint recognition is performed on the first fingerprint recognition image, the second fingerprint recognition image, and the fused fingerprint recognition image.

12. The method according to claim 8, characterized in that, The fingerprint recognition process involving the first fingerprint image and the second fingerprint image includes: Fingerprint recognition is performed on the first fingerprint image and the second fingerprint image in order of image quality from high to low. If the identified fingerprint image matches the fingerprint template stored in the fingerprint recognition device, then fingerprint recognition of other fingerprint images will be stopped.

13. A fingerprint recognition device, characterized in that, The fingerprint recognition device is connected to the fingerprint recognition module as described in any one of claims 1 to 7, and the fingerprint recognition device includes: The acquisition module is used to acquire the initial fingerprint recognition image collected by the fingerprint recognition module during a single exposure process. The initial fingerprint recognition image includes multiple image pixels arranged in an array. The pixel value of each image pixel in the multiple image pixels is generated based on the light signal collected by a photosensitive pixel in the fingerprint recognition module. A segmentation module is used to segment the initial fingerprint recognition image into a first fingerprint recognition image and a second fingerprint recognition image. The first fingerprint recognition image includes a plurality of first image pixels, and the second fingerprint recognition image includes a plurality of second image pixels. The pixel values ​​of the plurality of first image pixels are generated based on the light signals collected by the plurality of first photosensitive pixels in the fingerprint recognition module, and the pixel values ​​of the plurality of second image pixels are generated based on the light signals collected by the plurality of second photosensitive pixels in the fingerprint recognition module. The recognition module is used to perform fingerprint recognition on the first fingerprint recognition image and the second fingerprint recognition image.

14. A fingerprint recognition device, characterized in that, The fingerprint recognition device includes a processor and a memory, the memory storing instructions which are loaded and executed by the processor to implement the fingerprint recognition method as described in any one of claims 8 to 12.

15. A computer-readable storage medium, characterized in that, The storage medium stores instructions that are loaded and executed by a processor to implement the fingerprint recognition method as described in any one of claims 8 to 12.

16. A computer program product, characterized in that, The computer program product includes computer instructions that are loaded and executed by a processor to implement the fingerprint recognition method as described in any one of claims 8 to 12.

17. A fingerprint recognition device, characterized in that, It includes the fingerprint recognition module as described in any one of claims 1 to 7, and the fingerprint recognition device as described in claim 13 or 14.

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