Electronic device and image processing method

Abstract

The present disclosure relates to an electronic device and an image processing method, the electronic device comprising a display screen, a sensor and a processor; the sensor is arranged below the display screen, light emitted from the display screen is reflected by an object to be measured to different angles, and the reflected light from the different angles is transmitted through the display screen to irradiate on the sensor; the sensor generates image data according to the reflected light from the different angles respectively; and the processor is configured to obtain a fingerprint image of the object to be measured according to the image data generated by the reflected light from the different angles. The embodiment of the present disclosure can effectively distinguish the difference between the fake fingerprint object and the real finger, and improve the anti-fake function of the electronic device.

Description

Technical Field

[0001] The present disclosure relates to the field of electronic technology, and in particular to an electronic device and an image processing method. Background Art

[0002] Generally speaking, optical fingerprint recognition technology can be described as a technique that uses light reflected from a finger to hit an image sensor, which then generates a fingerprint image based on the reflected light and performs fingerprint recognition on the fingerprint image. However, in related technologies, the fingerprint images to be recognized by terminal devices using optical fingerprint recognition technology are all flat images. If a criminal obtains a fingerprint image of a user of a terminal device, prints the fingerprint image into an image that is the size of the user's finger, and uses this image for fingerprint recognition, the terminal device will fail the recognition. This defect has become a major shortcoming in the anti-counterfeiting of optical fingerprint recognition. Summary of the Invention

[0003] To overcome the problems existing in the related art, the present disclosure provides an electronic device and an image processing method.

[0004] According to a first aspect of an embodiment of the present disclosure, there is provided an electronic device, comprising: a display screen, a sensor, and a processor;

[0005] The sensor is arranged below the display screen, and the light emitted from the display screen is reflected at different angles by the object to be measured, and the reflected light from different angles passes through the display screen and illuminates the sensor;

[0006] The sensor generates image data according to reflected light from different angles;

[0007] The processor is used to obtain the fingerprint image of the object to be tested based on image data generated by reflected light at different angles.

[0008] In one possible implementation, the sensor includes a plurality of photosensitive areas at different positions, and each photosensitive area generates image data based on reflected light acquired by the photosensitive area;

[0009] The processor is used to obtain the fingerprint image of the object to be tested according to the image data generated by each photosensitive area.

[0010] In a possible implementation, the sensor includes a plurality of sub-sensors at different positions, and each sub-sensor generates image data according to reflected light acquired by the sub-sensor;

[0011] The processor is used to obtain the fingerprint image of the object to be tested according to the image data generated by each sub-sensor.

[0012] In a possible implementation, the electronic device further includes a perforated plate disposed between the display screen and the sensor;

[0013] The orifice plate is made of a non-light-transmitting material and is provided with a plurality of through holes. The reflected light passing through each through hole is irradiated on the sensor, and the sensor generates image data containing an inverted image of the object to be measured according to the reflected light passing through each through hole.

[0014] In a possible implementation, the sensor includes a plurality of photosensitive areas at different positions, and the reflected light passing through each through hole is irradiated on the photosensitive area corresponding to the through hole.

[0015] In a possible implementation, the sensor includes a plurality of sub-sensors at different positions, and the reflected light passing through each through-hole is irradiated on the sub-sensor corresponding to the through-hole.

[0016] In a possible implementation, the processor is further configured to determine, based on all or part of the image data, whether the object to be tested is a forged fingerprint object; if it is a forged fingerprint object, abandoning the acquisition of the fingerprint image of the object to be tested; and / or,

[0017] The processor is further configured to obtain a fingerprint image of the object to be tested, and perform fingerprint identification on the object to be tested using the fingerprint image, if the object to be tested is not a forged fingerprint object.

[0018] In a possible implementation, the processor is further configured to determine whether the object to be tested is a forged fingerprint object based on similarities between specified features of the image data generated by the reflected light at different angles.

[0019] According to a second aspect of an embodiment of the present disclosure, there is provided an image processing method, characterized by comprising:

[0020] When a touch operation is detected on the display screen, image data generated by reflected light at different angles generated by the object to be measured corresponding to the area where the touch operation occurs are obtained;

[0021] The fingerprint image of the object to be measured is obtained according to the image data respectively generated by the reflected light at different angles.

[0022] In a possible implementation, obtaining the fingerprint image of the object to be measured according to the image data respectively generated by the reflected light at different angles includes:

[0023] detecting similarities between designated features of the image data respectively generated by the reflected light at different angles;

[0024] In a case where the similarity meets a similarity condition, a fingerprint image of the to-be-tested object is acquired.

[0025] The technical solution provided by the embodiments of the present disclosure can include the following beneficial effects: the present disclosure sets the sensor below the display screen, light emitted from the display screen is reflected by the to-be-tested object to different angles, the reflected light from different angles transmits through the display screen and irradiates on the sensor, the sensor respectively generates image data according to the reflected light from different angles, and the fingerprint image of the to-be-tested object is obtained according to the image data generated according to the reflected light from different angles. In the embodiments of the present disclosure, by acquiring fingerprint images of multiple angles, the authenticity of the to-be-tested object can be effectively identified, and the problem of poor security caused by acquiring and identifying a fake fingerprint can be prevented. For example, taking a two-dimensional fingerprint picture as a fake fingerprint as an example, if the to-be-tested object is a real finger, since the real finger is three-dimensional, the light emitted from the display screen is reflected by the finger to different angles, so that the light and shadow angles of the image data generated according to the reflected light are different. If the to-be-tested object is a two-dimensional fingerprint picture, the light emitted from the display screen is reflected by the picture to almost the same angle, so that the light and shadow effects of the image data generated according to the reflected light are similar. In this way, the embodiments of the present disclosure can effectively distinguish the difference between the two-dimensional fake fingerprint object and the real finger, and improve the anti-fake function of the electronic device. In addition, since the display screen can transmit light, there is no need to open a hole in the position of the display screen relative to the sensor, the effective display area of the display screen is increased, and the sealing property and mechanical strength of the electronic device are improved.

[0026] It should be understood that the foregoing general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0027] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0028] Figure 1 is a cross-sectional view of an electronic device according to an exemplary embodiment.

[0029] Figure 2 is a top view of an electronic device according to an exemplary embodiment.

[0030] Figure 3 is a top view of an electronic device according to an exemplary embodiment.

[0031] Figure 4 is a cross-sectional view of an electronic device according to an exemplary embodiment.

[0032] Figure 5The figure is a flowchart of an image processing method according to an exemplary embodiment. DETAILED DESCRIPTION

[0033] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0034] Figure 1 1 is a cross-sectional view of an electronic device according to an exemplary embodiment. The electronic device may be, for example, a mobile phone, a tablet computer, a smart watch, a laptop computer, a desktop computer, etc. The present disclosure does not limit the type of electronic device.

[0035] like Figure 1 As shown, the electronic device may include: a display screen 100, a sensor 101 and a processor (not shown in the figure); the sensor 101 is arranged below the display screen 100, and the light emitted from the display screen 100 is reflected at different angles by the object to be tested, and the reflected light from different angles passes through the display screen 100 and shines on the sensor 101; the sensor 101 generates image data according to the reflected light from different angles; the processor is used to obtain the fingerprint image of the object to be tested based on the image data generated by the reflected light at different angles.

[0036] In the embodiments of the present disclosure, the display screen may include an OLED (Organic Light-Emitting Diode) display screen or an LED (Light Emitting Diode) display screen. It should be noted that the present disclosure does not limit the type of display screen, as long as the display screen can transmit light.

[0037] A sensor is a device that uses the photoelectric conversion function of its optoelectronic components to convert light images incident on the sensor's photosensitive surface into electrical signals proportional to the light image. Sensors can include CCD (Charge-Coupled Device) sensors or CMOS (Complementary Metal Oxide Semiconductor) sensors.

[0038] A processor can be represented as an electronic component that interprets computer instructions and processes data in computer software. The processor can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components.

[0039] As an example of this embodiment, Figure 1 As shown, the sensor 101 can be set on the main board below the display screen 100, and the sensor 101 can be electrically connected to the processor through the circuit on the main board. The display screen 100 can transmit light, and the sensor 101 can generate image data based on the light transmitted from the display screen 100. When the electronic device starts to acquire image data and the object to be tested (for example, a user's finger) is placed on the surface of the display screen 100, the light emitted from the display screen 100 can be reflected by the object to be tested at different angles. The reflected light from different angles can pass through the display screen 100 and illuminate the sensor 101. The sensor 101 can generate multiple image data based on the reflected light from different angles, and each image data can reflect the light and shadow form of the object to be tested at different angles. The processor can obtain the multiple image data from the sensor 101 and obtain the fingerprint image of the object to be tested based on the multiple image data. It should be noted that the embodiments of the present disclosure do not limit the specific method by which the processor obtains the fingerprint image of the object to be tested based on the image data generated by the reflected light at different angles. For example, a portion of each image data can be intercepted and spliced, or the image data can be aligned and superimposed.

[0040] In the embodiment of the present disclosure, by acquiring fingerprint images at multiple angles, the authenticity of the object to be tested can be effectively identified, thereby preventing the problem of poor security caused by acquiring and identifying forged fingerprints.

[0041] Taking a counterfeit fingerprint as a two-dimensional fingerprint image as an example, if the object to be tested is a real finger, since a real finger is three-dimensional, the light emitted by the display screen will be reflected at different angles after being reflected by the finger, resulting in different light and shadow angles for the image data generated based on the reflected light. If the object to be tested is a two-dimensional counterfeit fingerprint object, then the light emitted by the display screen will be reflected at almost the same angle after being reflected by the image, resulting in similar light and shadow effects for the image data generated based on the reflected light. In this way, the disclosed embodiments can effectively distinguish between two-dimensional counterfeit fingerprint objects and real fingers, improving the anti-counterfeiting function of electronic devices. In addition, because the display screen can transmit light, there is no need to open a hole in the display screen relative to the sensor, which increases the effective display area of ​​the display screen and improves the enclosure and mechanical strength of the electronic device.

[0042] In one possible implementation, Figure 1 As shown, the display screen 100 may also be covered with a transparent cover plate 102 to protect the display screen 100 and increase the mechanical strength of the electronic device. For example, the transparent cover plate may be made of transparent glass, transparent hard plastic, etc. The present disclosure does not limit the material of the cover plate.

[0043] Figure 2 and Figure 3 FIG. 1 is a top view of an electronic device according to an exemplary embodiment. Figure 2 or Figure 3 As shown, the sensor 101 includes a plurality of photosensitive areas 1011 at different positions. Each photosensitive area 1011 generates image data based on the reflected light captured by the photosensitive area 1011; the processor is used to obtain the fingerprint image of the object to be tested based on the image data generated by each photosensitive area 1011.

[0044] For example, Figure 2 As shown, the sensor 101 may include two photosensitive areas 1011. Figure 3 As shown, the sensor 101 may include three photosensitive areas 1011. Each photosensitive area 1011 may be circular, and each photosensitive area 1011 may overlap with each other (it should be noted that the photosensitive areas 1011 may also be other shapes such as rectangular, elliptical, etc., and the photosensitive areas 1011 may be arranged in an array, a broken line, etc., and the photosensitive areas 1011 may not overlap with each other or may partially overlap with each other. The present disclosure does not limit the number, shape, and arrangement of the photosensitive areas 1011). When acquiring a fingerprint image of the object to be tested, each photosensitive area 1011 may generate image data based on the reflected light acquired by the photosensitive area 1011. The processor may acquire the image data generated by each photosensitive area 1011 from each photosensitive area 1011, and obtain the fingerprint image of the object to be tested based on the image data generated by each photosensitive area 1011.

[0045] In one possible implementation, the sensor includes multiple sub-sensors at different positions, each sub-sensor generates image data based on the reflected light obtained by the sub-sensor; the processor is used to obtain the fingerprint image of the object to be tested based on the image data generated by each sub-sensor.

[0046] For example, the sensor may include multiple sub-sensors, which may be arranged in an array or in other arrangements, such as a straight line or a broken line. This disclosure does not limit the arrangement of the sub-sensors. Each sub-sensor may capture reflected light and generate image data based on the reflected light captured by the sub-sensor. The processor may separately capture the image data generated by each sub-sensor and, based on the image data generated by each sub-sensor, obtain a fingerprint image of the subject to be tested.

[0047] Figure 4 FIG is a cross-sectional view of an electronic device according to an exemplary embodiment. Figure 4 As shown, the electronic device further includes a hole plate 103 disposed between the display screen 100 and the sensor 101;

[0048] The orifice plate 103 can be made of a non-transparent material and provided with a plurality of through holes 1031. The reflected light passing through each through hole 1031 is irradiated onto the sensor 101. The sensor 101 can generate image data containing an inverted image of the object to be measured according to the reflected light passing through each through hole 1031.

[0049] Generally speaking, a plate with a small hole is placed between the wall and the object. Due to the nature of light propagation in a straight line, the light emitted by the object or the reflected light of the object will pass through the small hole and shine on the wall to form the reflection of the object. This phenomenon can be called pinhole imaging.

[0050] For example, the material of the orifice plate 103 can include metal, alloy, or hard plastic, etc. As long as the material of the orifice plate 103 is non-transparent, the embodiment of the present disclosure does not limit the material of the orifice plate 103. A plurality of through holes 1031 can be provided on the orifice plate 103. The diameter of each through hole 1031, the spacing between the through holes 1031, and the spacing between the orifice plate 103 and the sensor can be set according to the principle of pinhole imaging, so that the image data generated by the sensor based on the reflected light passing through each through hole 1031 can more completely present an inverted image of the object to be measured.

[0051] In this way, the embodiment of the present disclosure utilizes the principle of pinhole imaging to enable the sensor to obtain relatively complete image data of the object to be measured at different angles, thereby further improving the recognition accuracy of the electronic device.

[0052] In a possible implementation, the sensor may include a plurality of photosensitive areas at different positions, and the reflected light passing through each through hole is irradiated on the photosensitive area corresponding to the through hole.

[0053] For example, the sensor may include multiple photosensitive areas at different positions, and each photosensitive area may be opposite to a through hole on the orifice plate, so that the reflected light passing through the through hole is irradiated on the photosensitive area corresponding to the through hole, and the photosensitive area generates image data containing an inverted image of the object to be measured.

[0054] In a possible implementation, the sensor may include a plurality of sub-sensors at different positions, and the reflected light passing through each through-hole is irradiated on the sub-sensor corresponding to the through-hole.

[0055] For example, the sensor may include multiple sub-sensors at different positions, and each sub-sensor may be directly opposite a through-hole on the orifice plate, so that the reflected light passing through the through-hole is irradiated on the sub-sensor corresponding to the through-hole, and the sub-sensor domain generates image data containing an inverted image of the object to be measured.

[0056] In one possible implementation, the processor may also be configured to determine, based on all or part of the image data, whether the object to be tested is a forged fingerprint object; if it is a forged fingerprint object, abandon obtaining the fingerprint image of the object to be tested; and / or, if the object to be tested is not a forged fingerprint object, perform fingerprint identification on the object to be tested using the fingerprint image.

[0057] For example, if the object to be tested is a real finger, since a real finger is three-dimensional, the light emitted by the display screen will be reflected at different angles after being reflected by the finger, so that the light and shadow angles of the multiple image data generated by the reflected light at different angles are different. If the object to be tested is a two-dimensional forged fingerprint object (for example, a forged fingerprint object obtained by printing), then the light emitted by the display screen will be reflected at almost the same angle after being reflected by the two-dimensional forged fingerprint object, so that the light and shadow effects of the multiple image data generated by the reflected light are similar. The processor can compare the similarity between each two image data of the multiple image data. If the similarity is lower than a threshold, the object to be tested can be considered to be a real finger. If it is higher than the threshold, the object to be tested can be considered to be a forged fingerprint object. The processor can make a judgment based on all the image data generated by all sensors, or it can make a judgment based on the first few sets of image data obtained.

[0058] If the object to be tested is determined to be a forged fingerprint object, the processor may give up acquiring the fingerprint image of the object to be tested. For example, if the processor determines that the object to be tested is a two-dimensional image based on the first two sets of image data, the processor may control the sensor to stop generating image data.

[0059] If it is determined that the object to be tested is not a forged fingerprint object, the processor can control the acquisition of a fingerprint image based on the image data generated by each sensor, and compare the fingerprint image with a pre-stored fingerprint image template to perform fingerprint recognition.

[0060] In one possible implementation, the processor may further determine whether the object to be tested is a forged fingerprint based on the similarity between specified features of image data generated by reflected light at different angles. The specified features of the image data may include features of one or more regions of the image, and the present disclosure does not limit the specific content of the specified features of the image data.

[0061] For example, the processor can extract specified features from each image data and determine the similarity between the specified features of each image data. If the similarity between the specified features of each image data meets a similarity condition, the processor can determine that the object under test is a forged fingerprint image. If the similarity between the specified features of each image data does not meet the similarity condition, the processor can determine that the object under test is not a forged fingerprint image. It should be noted that the similarity condition may include, for example: the similarity is greater than a similarity threshold, the similarity falls within a similarity interval, etc., and the present embodiment does not limit the specific content of the similarity condition.

[0062] In an application example, the following description is given using a mobile phone as the electronic device.

[0063] The sensor can be set on the main board below the mobile phone display screen, and the sensor can be electrically connected to the processor through the circuit on the main board. The display screen can transmit light, and the sensor can generate image data based on the light transmitted from the display screen. The area of ​​the sensor's photosensitive surface can be increased so that the sensor can obtain reflected light from a wider range and obtain image data at different angles. Generally speaking, the imaging accuracy of the sensor for fingerprint images can be around 50μm (micrometers). Since in the embodiment of the present disclosure, the sensor is imaged based on the reflected light of the object to be measured, the imaging accuracy of the sensor in the embodiment of the present disclosure can be set to around 20μm to improve the resolution of the image data.

[0064] The processor can control the sensor to start acquiring image data when it detects that the control for starting fingerprint recognition in the UI interface of the display screen is triggered. When the object to be tested (for example, the user's finger) is placed on the surface of the display screen, the light emitted from the display screen can be reflected at different angles by the object to be tested, and the reflected light from different angles can pass through the display screen and illuminate the sensor. The sensor can generate image data separately according to the reflected light from different angles, and each image data can reflect the light and shadow form of the object to be tested at different angles. The processor can obtain the multiple image data from the sensor and obtain the fingerprint image of the object to be tested based on the multiple image data.

[0065] If the object to be tested is a real finger, since a real finger is three-dimensional, the light emitted by the display screen will be reflected at different angles after being reflected by the finger, resulting in different light and shadow angles for the image data generated by the reflected light. If the object to be tested is a forged fingerprint object (for example, a forged fingerprint object obtained by printing), then the light emitted by the display screen will be reflected at almost the same angle after being reflected by the image, resulting in similar light and shadow effects for the image data generated by the reflected light. Therefore, the processor can compare the similarity between each two image data of multiple image data. If the similarity is lower than a threshold, the object to be tested can be considered to be a real finger. If it is higher than the threshold, the object to be tested can be considered to be a forged fingerprint object. The processor can make a judgment based on all the image data generated by all sensors, or it can make a judgment based on the first few sets of image data obtained.

[0066] If the object to be tested is determined to be a forged fingerprint object, the processor may stop fingerprint recognition on the object to be tested. For example, if the processor determines that the object to be tested is a two-dimensional image based on the first two sets of image data, the processor may control the sensor to stop generating image data.

[0067] If it is determined that the object to be tested is not a forged fingerprint object, the processor can control the acquisition of a fingerprint image based on the image data generated by each sensor, and compare the fingerprint image with a pre-stored fingerprint image template to perform fingerprint recognition.

[0068] Figure 5 FIG. 1 is a flow chart showing an image processing method according to an exemplary embodiment. Figure 5 As shown, the method may include:

[0069] Step 500: When a touch operation is detected on the display screen, image data generated by reflected light at different angles generated by the object to be measured corresponding to the area where the touch operation occurs is obtained;

[0070] Step 501 : Acquire a fingerprint image of the object to be measured according to the image data respectively generated by the reflected light at different angles.

[0071] In step 500, a sensor may be disposed below the display screen. When a touch operation is detected on the display screen, light generated by a light source below the display screen illuminates the finger and is reflected to produce reflected light at different angles. The sensor receives the reflected light from different angles and converts it into an electrical signal to obtain image data corresponding to the reflected light at different angles.

[0072] In step 501, a fingerprint image of the subject to be tested may be acquired if the image data generated by the reflected light at different angles satisfies a specified condition; otherwise, acquiring the fingerprint image of the subject to be tested is abandoned. Optionally, the image data generated by the reflected light at different angles satisfying the specified condition may mean that the similarity between specified features of the image data generated by the reflected light at different angles satisfies a similarity condition. For example, the similarity difference is significant. Alternatively, the image data generated by the reflected light at different angles satisfying the specified condition may mean that the specified features of the image data generated by the reflected light at different angles match a preset feature.

[0073] Optionally, the above-mentioned designated features are used to characterize designated characteristics of fingerprints, for example, they may be texture characteristics, etc., which may specifically include the sparseness of the texture, the ridge and valley distribution of the texture, the clarity of the texture, etc.

[0074] In a possible implementation, obtaining the fingerprint image of the object to be measured according to the image data respectively generated by the reflected light at different angles includes:

[0075] detecting similarities between designated features of the image data respectively generated by the reflected light at different angles;

[0076] When the similarity satisfies a similarity condition, a fingerprint image of the object to be measured is obtained.

[0077] Regarding the method in the above embodiment, the specific execution manner of each step has been described in detail in the embodiment of the electronic device, and will not be elaborated here.

[0078] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the following claims.

[0079] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. An electronic device, characterized in that: The electronic device includes: a display screen, a sensor and a processor; The sensor is arranged below the display screen, and the light emitted from the display screen is reflected at different angles by the object to be measured, and the reflected light from different angles passes through the display screen and illuminates the sensor; The sensor generates image data according to reflected light from different angles; The processor is configured to: compare the similarity between each two image data in the plurality of image data; if the similarity is lower than a threshold, determine that the object to be tested is not a forged fingerprint object; if the similarity is higher than the threshold, determine that the object to be tested is a forged fingerprint object; if the object to be tested is not a forged fingerprint object, obtain a fingerprint image of the object to be tested based on image data generated by reflected light at different angles; if the object to be tested is a forged fingerprint object, abandon obtaining the fingerprint image of the object to be tested.

2. The electronic device according to claim 1, wherein The sensor includes a plurality of light-sensitive areas at different positions, and each light-sensitive area generates image data based on the reflected light obtained by the light-sensitive area; The processor is used to obtain the fingerprint image of the object to be tested according to the image data generated by each photosensitive area.

3. The electronic device according to claim 1, wherein The sensor includes a plurality of sub-sensors at different positions, each sub-sensor generating image data according to reflected light acquired by the sub-sensor; The processor is used to obtain the fingerprint image of the object to be tested according to the image data generated by each sub-sensor.

4. The electronic device according to claim 1, wherein: The electronic device further comprises an aperture plate disposed between the display screen and the sensor; The orifice plate is made of a non-light-transmitting material and is provided with a plurality of through holes. The reflected light passing through each through hole is irradiated on the sensor, and the sensor generates image data containing an inverted image of the object to be measured according to the reflected light passing through each through hole.

5. The electronic device according to claim 4, characterized in that The sensor includes a plurality of photosensitive areas at different positions, and the reflected light passing through each through hole is irradiated on the photosensitive area corresponding to the through hole.

6. The electronic device according to claim 4, characterized in that The sensor includes a plurality of sub-sensors at different positions, and the reflected light passing through each through hole is irradiated on the sub-sensor corresponding to the through hole.

7. The electronic device according to any one of claims 1 to 6, characterized in that: The processor is further configured to perform fingerprint recognition on the object to be detected by using the fingerprint image when the object to be detected is not a forged fingerprint object.

8. An image processing method, characterized in that: include: When a touch operation is detected on the display screen, image data generated by reflected light at different angles generated by the object to be measured corresponding to the area where the touch operation occurs are obtained; comparing the similarity between every two image data among the plurality of image data; If the similarity is lower than a threshold, it is determined that the object to be tested is not a forged fingerprint object; If the similarity is higher than the threshold, it is determined that the object to be tested is a forged fingerprint object; In the case that the object to be measured is not a forged fingerprint object, obtaining a fingerprint image of the object to be measured according to the image data respectively generated by the reflected light at different angles; In the case that the object to be measured is a forged fingerprint object, obtaining the fingerprint image of the object to be measured is abandoned.

9. The method according to claim 8, characterized in that Acquiring a fingerprint image of the object to be measured according to the image data respectively generated by the reflected light at different angles, comprising: detecting similarities between designated features of the image data respectively generated by the reflected light at different angles; When the similarity satisfies a similarity condition, a fingerprint image of the object to be measured is obtained.

Images