Fingerprint recognition module, fingerprint recognition method and device

By using photosensitive pixels and amplifiers with different amplification gains to generate two fingerprint images with different intensities in the fingerprint recognition module, the problem of multiple exposures required by the optical fingerprint recognition module is solved, thus improving the recognition efficiency.

CN115761824BActive Publication Date: 2026-03-13BEIJING ESWIN COMPUTING TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-11-18
Publication Date
2026-03-13

AI Technical Summary

Technical Problem

Existing optical fingerprint recognition modules have shortcomings in recognition efficiency, requiring multiple fingerprint image acquisitions, resulting in low recognition efficiency.

Method used

By using multiple photosensitive pixels and amplifiers arranged in an array, and by setting different amplification gains for the photosensitive pixels and amplifiers, two fingerprint images with different intensities are generated. The images with different intensities are used for identification, avoiding repeated exposure.

Benefits of technology

It improves the efficiency of fingerprint recognition, reduces the number of repeated exposures caused by changes in ambient light, and increases the recognition speed.

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Abstract

This application discloses a fingerprint recognition module, fingerprint recognition method, and apparatus. The fingerprint recognition module includes multiple photosensitive pixels, in which the source follower amplification gains of the first and second photosensitive pixels are different, and / or, the amplifiers connected to the first and second photosensitive pixels have different amplification gains. Therefore, based on the light signals collected by the first and second photosensitive pixels, two fingerprint images with different intensities can be generated for fingerprint recognition. If one fingerprint image fails to be recognized, the other fingerprint image can be used for recognition without requiring the fingerprint recognition module to re-expose. This effectively improves the efficiency of fingerprint recognition.
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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 fingerprint 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 the one hand, a fingerprint recognition module is provided, the fingerprint recognition module comprising: a plurality of photosensitive pixels arranged in an array, and a plurality of amplifiers;

[0006] Each of the plurality of photosensitive pixels is used to detect the light beam reflected by the target object and generate an electrical signal;

[0007] Each of the plurality of amplifiers is connected to at least one of the photosensitive pixels and is used to amplify the electrical signal generated by the photosensitive pixel;

[0008] The plurality of photosensitive pixels include a plurality of first photosensitive pixels and a plurality of second photosensitive pixels; the amplification gain of the source follower in the plurality of first photosensitive pixels is different from the amplification gain of the source follower in the plurality of second photosensitive pixels, and / or, the amplification gain of the amplifier connected to the plurality of first photosensitive pixels is different from the amplification gain of the amplifier connected to the plurality of second photosensitive pixels.

[0009] Optionally, the amplification gain of the source follower in the plurality of first photosensitive pixels is different from that of the source follower in the plurality of second photosensitive pixels, and the amplification gain of the amplifier connected to the plurality of first photosensitive pixels is the same as that of the amplifier connected to the plurality of second photosensitive pixels.

[0010] Optionally, the amplification gain of the amplifier connected to the plurality of first photosensitive pixels is different from the amplification gain of the amplifier connected to the plurality of second photosensitive pixels, and the amplification gain of the source follower in the plurality of first photosensitive pixels is the same as the amplification gain of the source follower in the plurality of second photosensitive pixels.

[0011] Optionally, the plurality of amplifiers correspond one-to-one with the plurality of photosensitive pixels, wherein each amplifier is connected to a corresponding photosensitive pixel.

[0012] Optionally, 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.

[0013] Optionally, the plurality of first photosensitive pixels are photosensitive pixels located in odd-numbered rows, and the plurality of second photosensitive pixels are photosensitive pixels located in even-numbered rows;

[0014] Alternatively, the plurality of first photosensitive pixels are photosensitive pixels located in odd-numbered columns, and the plurality of second photosensitive pixels are photosensitive pixels located in even-numbered columns.

[0015] Optionally, each of the plurality of photosensitive pixels, in addition to the source follower, further includes: a photodiode, a transmission transistor, a reset transistor, and a row gate transistor;

[0016] 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;

[0017] 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.

[0018] 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.

[0019] 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 one of the amplifiers.

[0020] Optionally, the fingerprint recognition module further includes: multiple analog-to-digital converters;

[0021] 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.

[0022] 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:

[0023] An initial fingerprint image is acquired by the fingerprint recognition module. The initial fingerprint image includes multiple image pixels arranged in an array. The pixel value of each image pixel is generated based on the light signal acquired by a photosensitive pixel in the fingerprint recognition module.

[0024] The initial fingerprint image is divided into a first target fingerprint image and a second target fingerprint image. The first target fingerprint image includes a plurality of first image pixels, and the second target fingerprint 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.

[0025] Fingerprint recognition is performed on the first target fingerprint image and the second target fingerprint image.

[0026] Optionally, dividing the initial fingerprint image into a first target fingerprint image and a second target fingerprint image includes:

[0027] The initial fingerprint image is divided into a first intermediate fingerprint image and a second intermediate fingerprint image, wherein 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;

[0028] The first intermediate fingerprint image is interpolated to obtain the first target fingerprint image;

[0029] The second intermediate fingerprint image is interpolated to obtain the second target fingerprint image;

[0030] The resolutions of the first target fingerprint image and the second target fingerprint image are the same as those of the initial fingerprint image.

[0031] Optionally, the step of performing fingerprint recognition on the first target fingerprint image and the second target fingerprint image includes:

[0032] The first target fingerprint image and the second target fingerprint image are fused to obtain a fused fingerprint image;

[0033] Fingerprint recognition is performed on the first target fingerprint image, the second target fingerprint image, and the fused fingerprint image.

[0034] Optionally, the step of performing fingerprint recognition on the first target fingerprint image and the second target fingerprint image includes:

[0035] Fingerprint recognition is performed on the first target fingerprint image and the second target fingerprint image in descending order of image quality.

[0036] If the identified fingerprint image matches the fingerprint template stored in the fingerprint recognition device, fingerprint recognition of other target fingerprint images is stopped.

[0037] In another aspect, a fingerprint recognition device is provided, which is connected to the fingerprint recognition module described above. The fingerprint recognition device includes:

[0038] The acquisition module is used to acquire an initial fingerprint image collected by the fingerprint recognition module. The initial fingerprint 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.

[0039] The segmentation module is used to segment the initial fingerprint image into a first target fingerprint image and a second target fingerprint image. The first target fingerprint image includes a plurality of first image pixels, and the second target fingerprint 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.

[0040] The identification module is used to perform fingerprint identification on the first target fingerprint image and the second target fingerprint image.

[0041] Optionally, the partitioning module is used for:

[0042] The initial fingerprint image is divided into a first intermediate fingerprint image and a second intermediate fingerprint image, wherein 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;

[0043] The first intermediate fingerprint image is interpolated to obtain the first target fingerprint image;

[0044] The second intermediate fingerprint image is interpolated to obtain the second target fingerprint image;

[0045] The resolutions of the first target fingerprint image and the second target fingerprint image are the same as those of the initial fingerprint image.

[0046] Optionally, the identification module is used for:

[0047] The first target fingerprint image and the second target fingerprint image are fused to obtain a fused fingerprint image;

[0048] Fingerprint recognition is performed on the first target fingerprint image, the second target fingerprint image, and the fused fingerprint image.

[0049] Optionally, the identification module is used for:

[0050] Fingerprint recognition is performed on the first target fingerprint image and the second target fingerprint image in descending order of image quality.

[0051] If the identified fingerprint image matches the fingerprint template stored in the fingerprint recognition device, fingerprint recognition of other target fingerprint images is stopped.

[0052] 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.

[0053] 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.

[0054] 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.

[0055] 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.

[0056] The beneficial effects of the technical solution provided in this application include at least the following:

[0057] This application provides a fingerprint recognition module, fingerprint recognition method, and apparatus. In the fingerprint recognition module, among multiple photosensitive pixels, the source follower amplification gains of the first and second photosensitive pixels are different, and / or, the amplifiers connected to the first and second photosensitive pixels have different amplification gains. Based on this, the fingerprint recognition apparatus can obtain two fingerprint images with different intensities based on the light signals collected by the first and second photosensitive pixels, and perform fingerprint recognition. If the fingerprint recognition apparatus determines that one fingerprint image fails to be recognized, it can use the other fingerprint image for recognition without requiring the fingerprint recognition module to re-expose. This effectively improves the efficiency of fingerprint recognition. Attached Figure Description

[0058] 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.

[0059] Figure 1 This is a schematic diagram of the structure of a fingerprint recognition device provided in an embodiment of this application;

[0060] Figure 2 This is a schematic diagram of the structure of a fingerprint recognition module provided in an embodiment of this application;

[0061] Figure 3 This is a schematic diagram of another fingerprint recognition module provided in an embodiment of this application;

[0062] Figure 4 This is a schematic diagram of the structure of another fingerprint recognition module provided in the embodiments of this application;

[0063] Figure 5 This is a schematic diagram of another fingerprint recognition module provided in the embodiments of this application;

[0064] Figure 6 This is a schematic diagram of another fingerprint recognition module provided in the embodiments of this application;

[0065] Figure 7 This is a schematic diagram of the structure of a photosensitive pixel provided in an embodiment of this application;

[0066] Figure 8 This is a timing diagram of a photosensitive pixel provided in an embodiment of this application;

[0067] Figure 9 This is a schematic flowchart of a fingerprint recognition method provided in an embodiment of this application;

[0068] Figure 10 This is a flowchart illustrating another fingerprint recognition method provided in an embodiment of this application;

[0069] Figure 11 This is a schematic diagram of the structure of a fingerprint recognition device provided in an embodiment of this application;

[0070] Figure 12 This is a schematic diagram of another fingerprint recognition device provided in the embodiments of this application. Detailed Implementation

[0071] 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.

[0072] 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 unit 20. When a user's finger presses the fingerprint recognition area of ​​the fingerprint recognition device, the pixels in the fingerprint recognition area emit a light beam (i.e., present a light spot). When the user's finger contacts the fingerprint recognition area, it reflects the light beam. The fingerprint recognition module 10 can then collect the light beam reflected by the user's finger and image the reflected light beam to obtain a fingerprint image containing the ridges and valleys of the finger. This fingerprint image can reflect the fingerprint characteristics of the user's finger.

[0073] The fingerprint recognition device 20 can acquire the fingerprint image and perform fingerprint recognition on the fingerprint 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.

[0074] 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.

[0075] 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.

[0076] In related technologies, fingerprint recognition devices suffer from the problem of multiple fingerprint image acquisitions by the fingerprint recognition module during the fingerprint recognition process, i.e., multiple exposures. Exposure of the fingerprint recognition module refers to the photoelectric conversion process of the reflected light beam by the module. This necessitates multiple fingerprint recognition operations, leading to lower recognition efficiency. This problem of multiple exposures can occur when the user's fingerprint does not match the pre-stored fingerprint template in the device, when the ambient light is too strong or too weak, or when the user's finger does not completely cover the fingerprint recognition area.

[0077] Figure 2This is a schematic diagram of the structure of a fingerprint recognition module provided in an embodiment of this application. Figure 2 As shown, the fingerprint recognition module 10 includes: multiple photosensitive pixels arranged in an array, and multiple amplifiers.

[0078] Each of the plurality of photosensitive pixels is used to detect a light beam reflected by a target object and generate an electrical signal. For example, the target object could be a user's finger. Each of the plurality of amplifiers is connected to at least one photosensitive pixel and is used to amplify the electrical signal generated by the at least one photosensitive pixel to which it is connected.

[0079] Among them, such as Figure 2 As shown, the plurality of photosensitive pixels includes a plurality of first photosensitive pixels 11a and a plurality of second photosensitive pixels 11b. Furthermore, the amplification gain of the source follower in the plurality of first photosensitive pixels 11a differs from the amplification gain of the source follower in the plurality of second photosensitive pixels 11b, and / or, the amplification gain of the amplifier 12a connected to the plurality of first photosensitive pixels 11a differs from the amplification gain of the amplifier 12b connected to the plurality of second photosensitive pixels 11b.

[0080] In this embodiment, when a target object comes into contact with the fingerprint recognition area of ​​the fingerprint recognition device, the pixels in the fingerprint recognition area 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 an electrical signal. This electrical signal can be output in the form of a voltage.

[0081] Each of these multiple photosensitive pixels includes a source follower ( Figure 2 (Not shown), the source follower amplifies the electrical signal generated by the photoelectric conversion of the photosensitive pixel. Each amplifier in the fingerprint recognition module 10 also amplifies the power of the electrical signal output by the photosensitive pixel to facilitate processing of the signal by subsequent circuitry.

[0082] Because the source follower amplification gains in the first photosensitive pixel 11a and the second photosensitive pixel 11b are different, and / or the amplification gains of the amplifiers they are connected to are different, 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 11a 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 11b. Here, pixel value intensity can refer to the intensity relationship between the pixel value and the light signal; that is, for the same light signal, image pixels with different pixel value intensities have different pixel values.

[0083] Accordingly, a fingerprint image can be generated based on the plurality of first image pixels, and another fingerprint image can be generated based on the plurality of second image pixels, with the two fingerprint images having different intensities. That is, based on the light signal collected by the fingerprint recognition module 10 during a single exposure, two fingerprint images with different intensities can be generated. Therefore, if the fingerprint recognition device 20 determines that one fingerprint image fails to be recognized, it can use the other fingerprint image for fingerprint recognition without requiring the fingerprint recognition module 10 to collect the fingerprint image again. This further improves fingerprint recognition efficiency.

[0084] For example, when the ambient light intensity of the fingerprint recognition device varies, the fingerprint recognition device 20 can perform fingerprint recognition based on fingerprint images of different intensities. Specifically, when the ambient light is too strong, the fingerprint recognition device 20 can use the fingerprint image with lower intensity from two fingerprint images for recognition. When the ambient light is too weak, the fingerprint recognition device 20 can use the fingerprint image with higher intensity from two fingerprint images for recognition. Based on the above analysis, it can be seen that the fingerprint recognition module 10 provided in this application embodiment can avoid re-exposure due to ambient light intensity factors, effectively reducing the time consumed by the fingerprint recognition module 10 in acquiring fingerprint images and improving the recognition efficiency of the fingerprint recognition device 20.

[0085] In summary, this application provides a fingerprint recognition module in which the source follower amplification gains of the first and second photosensitive pixels are different, and / or the amplifiers connected to the first and second photosensitive pixels have different amplification gains. Based on this, the fingerprint recognition device can obtain two fingerprint images with different intensities based on the light signals collected by the first and second photosensitive pixels, and perform fingerprint recognition. If the fingerprint recognition device determines that one fingerprint image fails to be recognized, it can use the other fingerprint image for recognition without requiring the fingerprint recognition module to re-expose. This effectively improves the efficiency of fingerprint recognition.

[0086] As a first possible implementation, the amplification gain of the source follower in the plurality of first photosensitive pixels 11a is different from the amplification gain of the source follower in the plurality of second photosensitive pixels 11b, and the amplification gain of the amplifier 12a connected to the plurality of first photosensitive pixels 11a is the same as the amplification gain of the amplifier 12b connected to the plurality of second photosensitive pixels 11b.

[0087] In this implementation, the amplifiers connected to the multiple photosensitive pixels have the same amplification gain. The difference between the pixel value intensity of the first image pixel generated based on the light signal collected by the first photosensitive pixel 11a and the pixel value intensity of the second image pixel generated based on the light signal collected by the second photosensitive pixel 11b comes from the amplification gain of the source follower in the first photosensitive pixel 11a and the second photosensitive pixel 11b.

[0088] As a second possible implementation, the amplification gain of the amplifier 12a connected to the plurality of first photosensitive pixels 11a is different from the amplification gain of the amplifier 12b connected to the plurality of second photosensitive pixels 11b, and the amplification gain of the source follower in the plurality of first photosensitive pixels 11a is the same as the amplification gain of the source follower in the plurality of second photosensitive pixels 11b.

[0089] In this implementation, the amplification gain of the source follower in the multiple photosensitive pixels is the same. The difference between the pixel value intensity of the first image pixel generated based on the light signal collected by the first photosensitive pixel 11a and the pixel value intensity of the second image pixel generated based on the light signal collected by the second photosensitive pixel 11b comes from the amplification gain of the amplifiers connected to the first photosensitive pixel 11a and the second photosensitive pixel 11b.

[0090] As a third possible implementation, the amplification gain of the amplifier 12a connected to the plurality of first photosensitive pixels 11a is different from the amplification gain of the amplifier 12b connected to the plurality of second photosensitive pixels 11b, and the amplification gain of the source follower in the plurality of first photosensitive pixels 11a is different from the amplification gain of the source follower in the plurality of second photosensitive pixels 11b.

[0091] In this implementation, the difference between the pixel value intensity of the first image pixel generated based on the light signal collected by the first photosensitive pixel 11a and the pixel value intensity of the second image pixel generated based on the light signal collected by the second photosensitive pixel 11b comes from the amplification gain of the source follower in the first photosensitive pixel 11a and the second photosensitive pixel 11b, as well as the amplification gain of the amplifier connected to the first photosensitive pixel 11a and the second photosensitive pixel 11b.

[0092] Alternatively, as a possible example, such as Figure 2As shown, the multiple amplifiers in the fingerprint recognition module 10 correspond one-to-one with the multiple columns of photosensitive pixels in the fingerprint recognition module 10. Each amplifier is connected to a corresponding column of photosensitive pixels and amplifies the electrical signal output by each photosensitive pixel in that column. That is, in this example, a column of photosensitive pixels shares one amplifier, where each amplifier 12a is connected to a first column of photosensitive pixels 11a, and each amplifier 12b is connected to a second column of photosensitive pixels 11b.

[0093] As another possible example, Figure 3 and Figure 4 As shown, these multiple amplifiers can correspond one-to-one with multiple photosensitive pixels. Each amplifier is connected to a corresponding photosensitive pixel; that is, each amplifier 12a is connected to a first photosensitive pixel 11a, and each amplifier 12b is connected to a second photosensitive pixel 11b. Furthermore, each amplifier amplifies the electrical signal output from only the photosensitive pixel it is connected to.

[0094] It is understood that in the first, second and third implementation methods described above, the multiple photosensitive pixels and multiple amplifiers in the fingerprint recognition module 10 can be connected in the connection method shown in the first example above, or in the connection method shown in the second example above.

[0095] Optionally, such as Figure 3 As shown, the plurality of first photosensitive pixels 11a can be photosensitive pixels located in odd-numbered columns, and the plurality of second photosensitive pixels 11b can be photosensitive pixels located in even-numbered columns. That is, the pixel values ​​of the image pixels generated based on the light signals collected by the photosensitive pixels in odd-numbered columns and even-numbered columns are different. Accordingly, a fingerprint image of one intensity can be generated based on the image pixels in odd-numbered columns, and a fingerprint image of another intensity can be generated based on the image pixels in even-numbered columns.

[0096] Or, such as Figure 4 As shown, the plurality of first photosensitive pixels 11a can be photosensitive pixels located in odd-numbered rows, and the plurality of second photosensitive pixels 11b can be photosensitive pixels located in even-numbered rows. That is, the pixel values ​​of the image pixels generated based on the light signals collected by the photosensitive pixels in odd-numbered rows and even-numbered rows are different. Accordingly, a fingerprint image of one intensity can be generated based on the image pixels in odd-numbered rows, and a fingerprint image of another intensity can be generated based on the image pixels in even-numbered rows.

[0097] It is understandable that if each amplifier in the fingerprint recognition module 10 is connected to a corresponding photosensitive pixel, then in the first, second or third implementation described above, the first photosensitive pixel 11a and the second photosensitive pixel 11b in the fingerprint recognition module 10 can be arranged alternately in an odd-even column manner, or they can be arranged alternately in an odd-even row manner.

[0098] If each amplifier in the fingerprint recognition module 10 is connected to a corresponding column of photosensitive pixels, then in the first implementation described above, the first photosensitive pixel 11a and the second photosensitive pixel 11b in the fingerprint recognition module 10 can be arranged alternately in an odd-even column manner, or they can be arranged alternately in an odd-even row manner. Furthermore, in the second and third implementations described above, the first photosensitive pixel 11a and the second photosensitive pixel 11b in the fingerprint recognition module 10 can be arranged alternately in an odd-even column manner.

[0099] It is also understood that, in addition to the first photosensitive pixel 11a and the second photosensitive pixel 11b, the multiple photosensitive pixels in the fingerprint recognition module 10 may also include multiple third photosensitive pixels. The amplification gain of the source follower in the multiple third photosensitive pixels is different from the amplification gain of the source follower in the multiple first photosensitive pixels 11a, and different from the amplification gain of the source follower in the multiple second photosensitive pixels 11b, and / or, the amplification gain of the amplifier connected to the multiple third photosensitive pixels is different from the amplification gain of the amplifier 12a connected to the multiple first photosensitive pixels 11a, and different from the amplification gain of the amplifier 12b connected to the multiple second photosensitive pixels 11b.

[0100] That is, the pixel intensity of the image pixel generated by the light signal collected by the third photosensitive pixel is different from the pixel intensity of the first and second image pixels. Therefore, the fingerprint recognition module 10 can generate three fingerprint images with different intensities from the light signal collected in a single exposure. Furthermore, the multiple photosensitive pixels in the fingerprint recognition module 10 can also include other photosensitive pixels with different amplification gains, and can generate a greater number of fingerprint images with different intensities to ensure the reliability and efficiency of fingerprint recognition. This application embodiment does not limit the number of fingerprint images that the fingerprint recognition module 10 can generate.

[0101] Figure 5 This is a schematic diagram of another fingerprint recognition module provided in an embodiment of this application. Figure 5As shown, the fingerprint recognition module 10 may further include a plurality of analog-to-digital converters (ADCs) 13. These ADCs 13 correspond one-to-one with multiple rows of photosensitive pixels in the fingerprint recognition module 10, wherein each ADC 13 is connected to an amplifier connected to a corresponding row of photosensitive pixels. For example, see Reference... Figure 5 Each analog-to-digital converter 13 can be connected to only one amplifier, or, refer to Figure 6 Each analog-to-digital converter 13 can be connected to multiple amplifiers.

[0102] 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.

[0103] Optionally, such as Figure 5 and Figure 6 As shown, the fingerprint recognition module 10 may also include a memory 14.

[0104] In this embodiment, the memory 14 is used to cache the digital signals output by multiple analog-to-digital converters 13, and transmit the cached digital signals to the fingerprint recognition device 20 in the form of fingerprint images for fingerprint recognition by the fingerprint recognition device 20.

[0105] Figure 7 This is a schematic diagram of the structure of a photosensitive pixel provided in an embodiment of this application. For example... Figure 7 As shown, each of the multiple photosensitive pixels may include, in addition to the source follower Q1, a photodiode D, a transmission transistor Q2, a reset transistor Q3, and a row select transistor Q4.

[0106] like Figure 7 As shown, the first terminal of the photodiode D is connected to the ground terminal GND, and the second terminal of the photodiode D is connected to the first terminal of the transmission transistor Q2. The gate of the transmission transistor Q2 is connected to the first signal terminal S1, and the second terminal of the transmission transistor Q2 is connected to the first terminal of the reset transistor Q3 and the gate of the source follower Q1, respectively.

[0107] The gate of the reset transistor Q3 is connected to the second signal terminal S2. The second terminal of the reset transistor Q3 and the first terminal of the source follower Q1 are both connected to the power supply terminal V1. The second terminal of the source follower Q1 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.

[0108] The first terminal of the photodiode D 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.

[0109] 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.

[0110] like Figure 8 As 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.

[0111] 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.

[0112] Continue to refer to Figure 8 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 Q3 is turned on under the drive of the reset signal RST, thereby turning on the source follower Q1. 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 Q1 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 .

[0113] Continue to refer to Figure 7 and Figure 8After the on-time of reset transistor Q3 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 Q3 turns off. After a period of time after reset transistor Q3 turns 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 Q2 turns on. Therefore, the electrical signal obtained by photoelectric conversion of the light signal reflected from the target object by photodiode D can be transmitted to the reference point PD through transmission transistor Q2. Correspondingly, row select transistor Q4 can output signal voltage V. Sig .

[0114] After the conduction time of the transmission transistor Q2 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 Q2 will turn off. The transmission transistor Q2 stops transmitting the electrical signal obtained by photoelectric conversion by the photodiode D. Here, time periods t21 and t22 are 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 Q2 and the reset transistor Q3 are only conducted for a portion of the time, and the transmission transistor Q2 and the reset transistor Q3 are not conducted simultaneously.

[0115] Continue to refer to Figure 8 After the transmission transistor Q2 is turned off for a period of time, the levels of the drive signal VDD received by the power supply terminal V1 and 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.

[0116] It is understandable that the electrons obtained by the photodiode D through photoelectric conversion will combine with the holes at the reference point PD, thereby causing the voltage level at the reference point PD to drop, and consequently, the voltage level at the first terminal of the source follower Q1 to drop. Therefore, during the t2 period after the fingerprint recognition module 10 is started, the change in voltage at the reference point PD (i.e., the change in voltage level) is the number of electrons obtained by the photodiode D 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 in the form of a voltage, the electrical signal Vout can be expressed as: Vout = (V RS -V Sig )*Gpixel. Where Gpixel refers to the amplification gain of the source follower Q1.

[0117] Optionally, such as Figure 5 and Figure 6As 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.

[0118] 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 Q2 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 Q3 via the power supply terminal V1.

[0119] In summary, this application provides a fingerprint recognition module comprising multiple photosensitive pixels arranged in an array and an amplifier. The source follower amplification gains of the first and second photosensitive pixels differ, and / or the amplifiers connected to the first and second photosensitive pixels have different amplification gains. Based on this, the fingerprint recognition device can obtain two fingerprint images with different intensities and perform recognition. The pixel values ​​of one fingerprint image are generated based on the light signal collected by the first photosensitive pixel, and the pixel values ​​of the other fingerprint image are generated based on the light signal collected by the second photosensitive pixel. Therefore, if the fingerprint recognition device determines that one fingerprint image recognition fails, it can use the other fingerprint image for recognition without requiring the fingerprint recognition module to re-expose. This effectively improves fingerprint recognition efficiency.

[0120] Figure 9 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 9 As shown, the method includes:

[0121] Step 101: Obtain the initial fingerprint image collected by the fingerprint recognition module.

[0122] When a fingerprint recognition device performs fingerprint recognition, the 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 generates an initial fingerprint image based on the electrical signals collected by the multiple photosensitive pixels. Accordingly, the fingerprint recognition device acquires the initial fingerprint image collected by the fingerprint recognition module. This initial fingerprint 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.

[0123] The target object can be the user's finger.

[0124] Step 102: Divide the initial fingerprint image into a first target fingerprint image and a second target fingerprint image.

[0125] The first target fingerprint image includes multiple first image pixels, and the second target fingerprint 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.

[0126] It is understandable that the amplification gain of the source follower in the multiple first photosensitive pixels of the fingerprint recognition module differs from the amplification gain of the source follower in the multiple second photosensitive pixels, and / or, the amplification gain of the amplifier connected to the multiple first photosensitive pixels differs from the amplification gain of the amplifier connected to the 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 the pixel value and the light signal; that is, for the same light signal, image pixels with different pixel value intensities have different pixel values.

[0127] Accordingly, a first target fingerprint image can be generated based on the plurality of first image pixels, and a second target fingerprint image can be generated based on the plurality of second image pixels, with the two fingerprint images having different intensities. That is, based on the light signal collected by the fingerprint recognition module during a single exposure, two fingerprint images with different intensities can be generated.

[0128] Step 103: Perform fingerprint recognition on the first target fingerprint image and the second target fingerprint image.

[0129] In this embodiment, the fingerprint recognition device pre-stores a fingerprint template. The fingerprint recognition device compares a first target fingerprint image and a second target fingerprint image with the fingerprint template to determine whether they match. If the fingerprint recognition device detects that either the first target fingerprint image or the second target fingerprint image matches the fingerprint template, it determines that the fingerprint recognition is successful. If the fingerprint recognition device detects that neither the first target fingerprint image nor the second target fingerprint image matches the fingerprint template, it determines that the fingerprint recognition has failed.

[0130] Understandably, if a fingerprint recognition device determines that one frame of a fingerprint image has failed to be recognized, it can use another frame of a fingerprint image for fingerprint recognition without requiring the fingerprint recognition module 10 to collect the fingerprint image again. This further improves the efficiency of fingerprint recognition.

[0131] For example, when the ambient light intensity of the fingerprint recognition device varies, the device can perform fingerprint recognition based on fingerprint images of different intensities. For instance, when the ambient light is too strong, the device can use the fingerprint image with lower intensity from two frames for recognition. When the ambient light is too weak, the device can use the fingerprint image with higher intensity from two frames for recognition. Based on the above analysis, the fingerprint recognition method provided in this application can avoid re-exposure due to ambient light intensity, effectively reducing the time spent by the fingerprint recognition module in acquiring fingerprint images and improving the efficiency of the fingerprint recognition device.

[0132] In summary, this application provides a fingerprint recognition method applied to a fingerprint recognition device. This device acquires an initial fingerprint image collected by a fingerprint recognition module and divides it into a first target fingerprint image and a second target fingerprint image. Then, the device performs fingerprint recognition on both the first and second target fingerprint images. Since the device can perform fingerprint recognition based on two frames of fingerprint images, if it determines that one frame fails to recognize the fingerprint, it can use the other frame without requiring the fingerprint recognition module to collect the fingerprint image again. This effectively improves fingerprint recognition efficiency.

[0133] Figure 10 This is a flowchart illustrating another fingerprint recognition method provided in an embodiment of this application. This method can be applied to fingerprint recognition devices, for example, it can be applied 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:

[0134] Step 201: Obtain the initial fingerprint image collected by the fingerprint recognition module.

[0135] When a fingerprint recognition device performs fingerprint recognition, the 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 generates an initial fingerprint image based on the electrical signals collected by the multiple photosensitive pixels. Accordingly, the fingerprint recognition device acquires the initial fingerprint image collected by the fingerprint recognition module. This initial fingerprint 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.

[0136] The target object can be the user's finger.

[0137] Step 202: Divide the initial fingerprint image into a first intermediate fingerprint image and a second intermediate fingerprint image.

[0138] The first intermediate fingerprint image includes multiple first image pixels, and the second intermediate fingerprint 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.

[0139] In this embodiment of the application, the multiple image pixels of the initial fingerprint image may include multiple first image pixels and multiple second image pixels. The fingerprint recognition device may divide the multiple first image pixels into a first intermediate fingerprint image and divide the multiple second image pixels into a second intermediate fingerprint image.

[0140] It is understandable that, due to the different amplification gains of the source followers in the first and second photosensitive pixels, and / or the different amplification gains of the amplifiers they are connected to, the pixel value intensity of the first image pixel generated based on the light signal acquired by the first photosensitive pixel is different from the pixel value intensity of the second image pixel generated based on the light signal acquired by the second photosensitive pixel. Here, pixel value intensity can refer to the intensity relationship between the pixel value and the light signal; that is, for the same light signal, image pixels with different pixel value intensities have different pixel values.

[0141] 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 images with different intensities can be generated.

[0142] The plurality of first image pixels can be image pixels located in odd-numbered rows of the initial fingerprint image, and the plurality of second image pixels can be image pixels located in even-numbered rows of the initial fingerprint image. Alternatively, the plurality of first image pixels can be image pixels located in odd-numbered columns of the initial fingerprint image, and the plurality of second image pixels can be image pixels located in even-numbered columns of the initial fingerprint 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 image.

[0143] 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 image into different intermediate fingerprint images.

[0144] Step 203: Interpolate the first intermediate fingerprint image to obtain the first target fingerprint image.

[0145] 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 target fingerprint image.

[0146] It is understood that the first intermediate fingerprint image only includes the first image pixels from the initial fingerprint 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 target fingerprint image contains more comprehensive fingerprint features, thereby ensuring that the fingerprint recognition device can recognize the first target fingerprint image.

[0147] Optionally, the interpolation algorithm can be one of the nearest neighbor interpolation algorithm, bilinear interpolation algorithm, and bicubic interpolation algorithm.

[0148] Step 204: Interpolate the second intermediate fingerprint image to obtain the second target fingerprint image.

[0149] The resolutions of both the first and second target fingerprint images are the same as those of the initial fingerprint image. The implementation process of step 204 can refer to the implementation process of step 203 described above.

[0150] Step 205: Perform image fusion on the first target fingerprint image and the second target fingerprint image to obtain a fused fingerprint image.

[0151] 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 target fingerprint image and the second target fingerprint image to obtain a fused fingerprint image. The resolution of the fused fingerprint image is the same as the resolution of the initial fingerprint image.

[0152] It is understandable that fingerprint recognition devices can enhance the fingerprint information in the first and second target fingerprint images by fusing them. This results in a better display effect for the fused fingerprint image, facilitating fingerprint recognition by the device.

[0153] Step 206: Perform fingerprint recognition on the first target fingerprint image, the second target fingerprint image, and the fused fingerprint image in order of image quality from high to low.

[0154] In this embodiment, the fingerprint recognition device pre-stores fingerprint templates. When performing fingerprint recognition, the device compares the 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 two images. 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.

[0155] It is understandable that when the fingerprint in the fingerprint image and the fingerprint template are both the fingerprint of the same user, the higher the quality of the fingerprint image, the higher the similarity between the fingerprint image and the fingerprint template, and the higher the probability of the fingerprint image matching the fingerprint template.

[0156] The image quality may include at least one of the following: the clarity of the fingerprint image, the vibrancy of the fingerprint image, and the intensity of the fingerprint image.

[0157] Step 207: If the identified fingerprint image matches the fingerprint template stored in the fingerprint recognition device, then stop fingerprint recognition of other target fingerprint images.

[0158] If a fingerprint image is matched with a fingerprint template stored in the fingerprint recognition device during the fingerprint recognition process, the fingerprint recognition is considered successful, and the fingerprint recognition of other target fingerprint images is stopped.

[0159] Understandably, since the fingerprint recognition device performs fingerprint recognition on the first target fingerprint image, the second target fingerprint image, and the fused fingerprint image in descending order of image quality, when all three fingerprint images and the fingerprint template belong to the same user, the fingerprint recognition device can first perform fingerprint recognition on the fingerprint image with the highest probability of matching the fingerprint template. 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 fingerprint images, further improving fingerprint recognition efficiency.

[0160] For example, when the ambient light intensity of the fingerprint recognition device varies, the device can perform fingerprint recognition based on fingerprint images of different intensities. Specifically, when the ambient light is too strong, the device can first use the fingerprint image with the lowest intensity from the three frames for recognition. When the ambient light is too weak, the device can first use the fingerprint image with the highest intensity from the three frames for recognition. Based on the above analysis, it can be seen that the fingerprint recognition method provided in this application can avoid the fingerprint recognition module from re-exposing due to ambient light intensity, effectively reducing the time spent by the fingerprint recognition module in acquiring fingerprint images and improving the efficiency of the fingerprint recognition device.

[0161] It is understood that the fingerprint recognition module may include multiple third photosensitive pixels in addition to the first and second photosensitive pixels. The amplification gain of the source follower in these multiple third photosensitive pixels differs from the amplification gain of the source follower in the multiple first photosensitive pixels, and also differs from the amplification gain of the source follower in the multiple second photosensitive pixels. Furthermore, the amplification gain of the amplifier connected to these multiple third photosensitive pixels differs from the amplification gain of the amplifier connected to the multiple first photosensitive pixels, and also differs from the amplification gain of the amplifier connected to the multiple second photosensitive pixels.

[0162] In other words, the pixel intensity of the image pixel generated by the light signal collected by the third photosensitive pixel is different from the pixel intensity of the first and second image pixels. Therefore, this fingerprint recognition device can generate three fingerprint images with different intensities based on the light signal collected by the fingerprint recognition module during a single exposure. The fingerprint recognition device can then identify these three fingerprint images.

[0163] Furthermore, the multiple photosensitive pixels in this fingerprint recognition module can also include other photosensitive pixels with different amplification gains, and can generate a greater number of fingerprint images with varying intensities. Based on this, the fingerprint recognition device can obtain a greater number of target fingerprint images and fused fingerprint images, and perform fingerprint recognition. This further ensures the reliability and efficiency of fingerprint recognition. The embodiments of this application do not limit the number of target fingerprint images and the number of fused fingerprint images.

[0164] 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 appropriate. For example, step 204 can be executed before step 203. Alternatively, step 204 can be executed synchronously with step 203. Or, step 203 and / or step 204 can be deleted as appropriate, 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 image, and perform recognition based on the first intermediate fingerprint image, the second intermediate fingerprint image, and the fused fingerprint image. Or, step 205 can be deleted as appropriate, that is, the fingerprint recognition device can only recognize the first target fingerprint image and the first target fingerprint 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 described in detail.

[0165] 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. The pixel values ​​of the multiple image pixels in the initial fingerprint image are generated based on the light signals collected by multiple photosensitive pixels in the fingerprint recognition module. Among the multiple photosensitive pixels in the fingerprint recognition module, the source follower amplification gains of the first photosensitive pixel and the second photosensitive pixel are different, and / or, the amplification gains of the amplifiers connected to the first photosensitive pixel and the second photosensitive pixel are different. Based on this, the fingerprint recognition device can divide the initial fingerprint image into two target fingerprint images with different intensities based on the light signals collected by the first and second photosensitive pixels, and perform fingerprint recognition. If the fingerprint recognition device determines that one frame of the fingerprint image fails to be recognized, it can use the other frame of the fingerprint image for recognition without requiring the fingerprint recognition module to re-expose. This effectively improves the efficiency of fingerprint recognition.

[0166] Figure 11 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 1As shown, the fingerprint recognition device 20 is connected to the fingerprint recognition module 10. (Reference) Figure 11 The fingerprint recognition device 20 includes:

[0167] The acquisition module 21 is used to acquire the initial fingerprint image collected by the fingerprint recognition module 10. The initial fingerprint 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.

[0168] The segmentation module 22 is used to segment the initial fingerprint image into a first target fingerprint image and a second target fingerprint image. The first target fingerprint image includes multiple first image pixels, and the second target fingerprint 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.

[0169] The identification module 23 is used to perform fingerprint identification on the first target fingerprint image and the second target fingerprint image.

[0170] Optionally, the partitioning module 22 is used for:

[0171] The initial fingerprint image is divided into a first intermediate fingerprint image and a second intermediate fingerprint image. The first intermediate fingerprint image includes multiple first image pixels, and the second intermediate fingerprint image includes multiple second image pixels.

[0172] The first intermediate fingerprint image is interpolated to obtain the first target fingerprint image.

[0173] The second intermediate fingerprint image is interpolated to obtain the second target fingerprint image.

[0174] The resolutions of the first target fingerprint image and the second target fingerprint image are the same as those of the initial fingerprint image.

[0175] Optionally, the recognition module 23 is used to perform image fusion on the first target fingerprint image and the second target fingerprint image to obtain a fused fingerprint image. Fingerprint recognition is then performed on the first target fingerprint image, the second target fingerprint image, and the fused fingerprint image.

[0176] Optionally, the recognition module 23 is used to perform fingerprint recognition on the first target fingerprint image and the second target fingerprint image in descending order of image quality. If the recognized fingerprint image matches the fingerprint template stored in the fingerprint recognition device, fingerprint recognition on other target fingerprint images is stopped.

[0177] In summary, this application provides a fingerprint recognition device capable of acquiring an initial fingerprint image collected by a fingerprint recognition module. The pixel values ​​of the multiple image pixels in the initial fingerprint image are generated based on the light signals collected by multiple photosensitive pixels in the fingerprint recognition module. Among the multiple photosensitive pixels in the fingerprint recognition module, the source follower amplification gains of the first and second photosensitive pixels are different, and / or, the amplification gains of the amplifiers connected to the first and second photosensitive pixels are different. Based on this, the fingerprint recognition device can divide the initial fingerprint image into two target fingerprint images with different intensities based on the light signals collected by the first and second photosensitive pixels, and perform fingerprint recognition. If the fingerprint recognition device determines that one frame of the fingerprint image fails to be recognized, it can use the other frame of the fingerprint image for recognition without requiring the fingerprint recognition module to re-expose. This effectively improves the efficiency of fingerprint recognition.

[0178] Figure 12 This is a schematic diagram of another fingerprint recognition device provided in an embodiment of this application, as shown below. Figure 12 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 9 or Figure 10 (The method shown).

[0179] 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 9 or Figure 10 (The method shown).

[0180] 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 9 or Figure 10 (The method shown).

[0181] It is understood that in this application, the term "at least one" means one or more, and "multiple" means two or more.

[0182] 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.

[0183] 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.

[0184] 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: multiple photosensitive pixels arranged in an array, and multiple amplifiers; Each of the plurality of photosensitive pixels is used to detect the light beam reflected by the target object and generate an electrical signal; Each of the plurality of amplifiers is connected to at least one of the photosensitive pixels and is used to amplify the electrical signal generated by the photosensitive pixel; The plurality of photosensitive pixels include a plurality of first photosensitive pixels and a plurality of second photosensitive pixels; the amplification gain of the source follower in the plurality of first photosensitive pixels is different from the amplification gain of the source follower in the plurality of second photosensitive pixels, and / or, the amplification gain of the amplifier connected to the plurality of first photosensitive pixels is different from the amplification gain of the amplifier connected to the plurality of second photosensitive pixels. The plurality of first photosensitive pixels are photosensitive pixels located in odd-numbered rows, and the plurality of second photosensitive pixels are photosensitive pixels located in even-numbered rows; or, the plurality of first photosensitive pixels are photosensitive pixels located in odd-numbered columns, and the plurality of second photosensitive pixels are photosensitive pixels located in even-numbered columns.

2. The fingerprint recognition module according to claim 1, characterized in that, The amplification gain of the source follower in the plurality of first photosensitive pixels is different from that of the source follower in the plurality of second photosensitive pixels, and the amplification gain of the amplifier connected to the plurality of first photosensitive pixels is the same as that of the amplifier connected to the plurality of second photosensitive pixels.

3. The fingerprint recognition module according to claim 1, characterized in that, The amplification gain of the amplifier connected to the plurality of first photosensitive pixels is different from that of the amplifier connected to the plurality of second photosensitive pixels, and the amplification gain of the source follower in the plurality of first photosensitive pixels is the same as that of the source follower in the plurality of second photosensitive pixels.

4. The fingerprint recognition module according to claim 3, characterized in that, The plurality of amplifiers correspond one-to-one with the plurality of photosensitive pixels, wherein each amplifier is connected to a corresponding photosensitive pixel.

5. The fingerprint recognition module according to any one of claims 1 to 3, characterized in that, 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.

6. The fingerprint recognition module according to any one of claims 1 to 4, characterized in that, Each of the plurality of photosensitive pixels, in addition to the source follower, also includes: a photodiode, a transmission transistor, a reset transistor, and a row gate 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 one of the amplifiers.

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: An initial fingerprint image is acquired by the fingerprint recognition module. The initial fingerprint image includes multiple image pixels arranged in an array. The pixel value of each image pixel is generated based on the light signal acquired by a photosensitive pixel in the fingerprint recognition module. The initial fingerprint image is divided into a first target fingerprint image and a second target fingerprint image. The first target fingerprint image includes a plurality of first image pixels, and the second target fingerprint 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 target fingerprint image and the second target fingerprint image.

9. The method according to claim 8, characterized in that, The step of dividing the initial fingerprint image into a first target fingerprint image and a second target fingerprint image includes: The initial fingerprint image is divided into a first intermediate fingerprint image and a second intermediate fingerprint image, wherein 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 target fingerprint image; The second intermediate fingerprint image is interpolated to obtain the second target fingerprint image; The resolutions of the first target fingerprint image and the second target fingerprint image are the same as those of the initial fingerprint image.

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

11. The method according to any one of claims 8 to 10, characterized in that, The fingerprint recognition process for the first target fingerprint image and the second target fingerprint image includes: Fingerprint recognition is performed on the first target fingerprint image and the second target fingerprint image in descending order of image quality. If the identified fingerprint image matches the fingerprint template stored in the fingerprint recognition device, fingerprint recognition of other target fingerprint images is stopped.

12. 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 an initial fingerprint image collected by the fingerprint recognition module. The initial fingerprint 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. The segmentation module is used to segment the initial fingerprint image into a first target fingerprint image and a second target fingerprint image. The first target fingerprint image includes a plurality of first image pixels, and the second target fingerprint 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 identification module is used to perform fingerprint identification on the first target fingerprint image and the second target fingerprint image.

13. 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 11.

14. 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 11.

15. 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 11.

16. 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 12 or 13.

Citation Information

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