Fingerprint recognition device, electronic device and fingerprint recognition method

Abstract

The present invention provides a fingerprint recognition device, an electronic device and a fingerprint recognition method. The fingerprint recognition device includes a sensor. The sensor is arranged below a glass screen. The sensor acquires a first image when a finger does not touch the glass screen, and acquires a second image when the finger presses the glass screen. The electronic device compares a first fingerprint ridge image and a first fingerprint valley image in the first image to obtain a first comparison result, compares a second fingerprint ridge image and a second fingerprint valley image in the second image to obtain a second comparison result, and determines whether the finger is a human finger based on the first comparison result and the second comparison result.

Description

Technical Field

[0001] The present invention relates to a fingerprint recognition device, an electronic device and a fingerprint recognition method, and in particular to a fingerprint recognition device, an electronic device and a fingerprint recognition method capable of recognizing whether a finger image is a human finger. Background Art

[0002] In recent years, biometric sensing technology has been widely used in various electronic devices or terminal equipment to provide various identity login or identity authentication functions. In particular, fingerprint sensing and palm print sensing are currently common sensing solutions. Generally speaking, the user can press a finger on the image sensor so that the image sensor can obtain a fingerprint image for subsequent identification or verification operations. However, since hackers may use printed fingerprints to attempt to pass verification, how to determine whether a fingerprint comes from a surface print is one of the important research directions in this field. Summary of the invention

[0003] The invention provides a fingerprint recognition device, an electronic device and a fingerprint recognition method which can recognize whether a finger image is a human finger.

[0004] The fingerprint recognition device of the present invention is suitable for enabling a processor to recognize a finger through a glass screen. The fingerprint recognition device includes a sensor. The sensor is coupled to the processor. The sensor is arranged below the surface. The sensor acquires a first image when the finger does not touch the glass screen, and acquires a second image when the finger presses the glass screen. The processor is coupled to the sensor. The processor compares the first fingerprint ridge image and the first fingerprint valley image in the first image to obtain a first comparison result, compares the second fingerprint ridge image and the second fingerprint valley image in the second image to obtain a second comparison result, and the judgment unit judges whether the finger is a human finger based on the first comparison result and the second comparison result.

[0005] The electronic device of the present invention includes a glass screen, the above-mentioned fingerprint recognition device and a processor. The fingerprint recognition device is configured to obtain a first image when the finger does not touch the glass screen through the glass screen, and obtain a second image when the finger presses the glass screen. The processor is coupled to the fingerprint recognition device. The processor is configured to compare the first fingerprint ridge image and the first fingerprint valley image in the first image to obtain a first comparison result, compare the second fingerprint ridge image and the second fingerprint valley image in the second image to obtain a second comparison result, and determine whether the finger is a human finger based on the first comparison result and the second comparison result.

[0006] The fingerprint recognition method of the present invention is applicable to a fingerprint recognition device. The fingerprint recognition device includes a glass screen and a sensor. The sensor is disposed below the surface of the glass screen. The fingerprint recognition method includes: obtaining a first image when a finger does not touch the glass screen by the sensor, and obtaining a second image when the finger presses the glass screen; comparing a first fingerprint ridge image and a first fingerprint valley image in the first image to obtain a first comparison result, and comparing a second fingerprint ridge image and a second fingerprint valley image in the second image to obtain a second comparison result; and judging whether the finger is a human finger based on the first comparison result and the second comparison result.

[0007] Based on the above, the present invention will obtain a first image when the finger does not touch the glass screen, and obtain a second image when the finger presses on the glass screen. The fingerprint recognition device will obtain a first comparison result based on the first image, and obtain a second comparison result based on the second image. The present invention also determines whether the finger is a human finger based on the first comparison result and the second comparison result. Therefore, the present invention can perform fingerprint recognition only after determining that the finger is a human finger, so as to improve the security of fingerprint recognition.

[0008] In order to make the above features and advantages of the present invention more clearly understood, embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] The accompanying drawings are included to provide a further understanding of the present invention and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments of the present invention and together with the description serve to explain the principles of the present invention.

[0010] Figure 1 is a schematic diagram of an electronic device according to an embodiment of the present invention;

[0011] Figure 2 is a flow chart of a fingerprint recognition method according to an embodiment of the present invention;

[0012] Figure 3 is a schematic diagram of generating a first image according to an embodiment of the present invention;

[0013] Figure 4 is a schematic diagram of generating a second image according to an embodiment of the present invention;

[0014] Figure 5 is a schematic diagram of a mechanism in which a second comparison result is different from a first comparison result according to an embodiment of the present invention;

[0015] Figure 6 is a schematic diagram of a first image and a second image from a fake finger according to an embodiment of the present invention;

[0016] Figure 7 is a flow chart of a fingerprint recognition method according to another embodiment of the present invention.

[0017] Description of Figure Numbers

[0018] 100: electronic device;

[0019] 110: glass screen;

[0020] 120: fingerprint recognition device;

[0021] 121: sensor;

[0022] 130: processor;

[0023] 300A, 300B: examples;

[0024] CR1: first comparison result;

[0025] CR2: second comparison result;

[0026] FGR: finger;

[0027] FO: false finger;

[0028] IM1, FM1: first image;

[0029] IM2, FM2: second image;

[0030] L1: optical signal of fingerprint ridge;

[0031] L1_1, L1_2: optical signals of fingerprint ridges;

[0032] L2: optical signal of fingerprint valley;

[0033] PL1, PL2: surface;

[0034] S110, S120, S130, S131, S132, S133, S134: steps. DETAILED DESCRIPTION

[0035] Please also refer to Figure 1 as well as Figure 2 , Figure 1 is a schematic diagram of an electronic device according to an embodiment of the present invention. Figure 21 is a flow chart of a fingerprint recognition method according to an embodiment of the present invention. In this embodiment, the electronic device 100 includes a glass screen 110, a fingerprint recognition device 120, and a processor 130. The glass screen 110 is, for example, an organic light emitting display and at least a portion of a screen of an organic light emitting display, but the present invention is not limited thereto. The fingerprint recognition device 120 obtains a first image when the finger does not touch the glass screen 110 through the glass screen 110, and obtains a second image when the finger presses on the glass screen 110.

[0036] Further, the fingerprint recognition device 120 includes a sensor 121. The sensor 121 is disposed below the surface of the glass screen 110. In one embodiment, the sensor 121 may be disposed in contact with the surface PL1 of the glass screen 110, but the present invention is not limited thereto. In some embodiments, the sensor 121 may not be in contact with the surface PL1. In this embodiment, in step S110, the sensor 121 acquires a first image IM1 when the finger FGR does not contact the glass screen 110 (e.g., the finger FGR approaches the glass screen 110 and does not contact the glass screen 110), and acquires a second image IM2 when the finger FGR presses the glass screen 110. For example, the sensor 121 acquires the first image IM1 when the finger FGR does not contact the glass screen 110 by a non-contact sensing method (e.g., an optical sensing method). When the finger FGR presses the surface PL2, the sensor 121 senses that the finger FGR contacts the glass screen 110 over a large area, and the sensor 120 acquires the second image IM2 of the finger FGR accordingly.

[0037] In this embodiment, the processor 130 is coupled to the sensor 120. The processor 130 determines whether the finger FGR is a human finger according to the first image IM1 and the second image IM2.

[0038] In the present embodiment, in step S120, the processor 130 compares the first fingerprint ridge image and the first fingerprint valley image in the first image IM1 to obtain a first comparison result CR1, and compares the second fingerprint ridge image and the second fingerprint valley image in the second image IM2 to obtain a second comparison result CR2. In step S130, the processor 130 determines whether the finger FGR is a human finger based on the first comparison result CR1 and the second comparison result CR2. In the present embodiment, the processor 130 determines whether the finger FGR is a human finger based on whether the first comparison result CR1 and the second comparison result CR2 are different, for example, whether the fingerprint to be verified is from a flat print. For example, when the first comparison result CR1 and the second comparison result CR2 are determined to be different, the processor 130 determines that the finger FGR is a human finger. When the first comparison result CR1 and the second comparison result CR2 are determined to be the same, the processor 130 determines that the finger FGR is not a human finger. In this way, the security of fingerprint recognition can be improved. In this embodiment, the processor 130 is, for example, a central processing unit (CPU), or other programmable general-purpose or special-purpose microprocessor (Microprocessor), digital signal processor (Digital Signal Processor, DSP), programmable controller, application specific integrated circuits (Application Specific Integrated Circuits, ASIC), programmable logic device (Programmable Logic Device, PLD) or other similar devices or a combination of these devices, which can load and execute computer programs. In some embodiments, the processor 130 can be implemented by comparator hardware, for example. That is, the comparator hardware can execute steps S120 and S130. In some embodiments, the processor 130 can be set inside the fingerprint recognition device 120. The setting of the processor of the present invention is not limited to this embodiment.

[0039] Please also refer to Figure 1 , Figure 3 as well as Figure 4 , Figure 3 is a schematic diagram of generating a first image according to an embodiment of the present invention. Figure 4 1 is a schematic diagram of generating a second image according to an embodiment of the present invention. Taking a human finger as an example, in this embodiment, when the finger FGR has not yet reached the glass screen 110, the sensor 121 obtains the first image IM1 (eg, Figure 3). The first image IM1 is an image when the finger FGR has not yet touched the glass screen 110. The second image IM2 is an image when the finger FGR touches the glass screen 110. The signal characteristics of the first image IM1 will be different from the signal characteristics of the second image IM2. Therefore, the processor 130 can identify whether the finger FGR is a human finger or a printed flat fingerprint based on the difference between the signal characteristics of the first image IM1 and the signal characteristics of the second image IM2. In this embodiment, the signal characteristic of the first image IM1 can be the signal strength relationship between the first fingerprint ridge image and the first fingerprint valley image. The signal characteristic of the second image IM2 can be the signal strength relationship between the second fingerprint ridge image and the second fingerprint valley image. In this embodiment, in the first image IM1, the signal strength of the first fingerprint ridge image is greater than the signal strength of the first fingerprint valley image. Therefore, in this embodiment, the first comparison result CR1 corresponding to the finger shows that the signal strength of the first fingerprint ridge image is greater than the signal strength of the first fingerprint valley image.

[0040] In this embodiment, when the finger FGR presses the surface PL2, the sensor 121 obtains the second image IM2 (eg, Figure 4 ). The second image IM2 reflects the contact portion of the finger FGR pressing on the glass screen 110. Different from the first image IM1, after the finger FGR presses the glass screen 110, since the refractive indexes of the finger FGR and the glass screen 110 are relatively close, most of the light passing through the fingerprint ridge and the surface PL1 of the glass screen 110 will pass through the fingerprint ridge, and the light signal reflected by the fingerprint ridge is relatively small. Therefore, in the second image IM2, the signal intensity of the second fingerprint ridge image will be smaller than the signal intensity of the second fingerprint valley image. In this embodiment, the second comparison result CR2 corresponding to the finger shows that the signal intensity of the second fingerprint ridge image is smaller than the signal intensity of the second fingerprint valley image. It can be seen that the first comparison result CR1 and the second comparison result CR2 corresponding to the finger are opposite.

[0041] Therefore, when the first comparison result CR1 shows that the signal strength of the first fingerprint ridge image is greater than the signal strength of the first fingerprint valley image, and the second comparison result CR2 shows that the signal strength of the second fingerprint ridge image is less than the signal strength of the second fingerprint valley image, the processor 130 can determine that the finger FGR is a human finger.

[0042] On the other hand, when the first comparison result CR1 is the same as the second comparison result CR2, for example, the signal strength of the first fingerprint ridge image is greater than the signal strength of the first fingerprint valley image, and the signal strength of the second fingerprint ridge image is greater than the signal strength of the second fingerprint valley image, the processor 130 can determine that the finger FGR is not a finger, for example, the fingerprint to be tested may be a printed flat fingerprint.

[0043] Next, the comparison mechanism of the second comparison result CR2 corresponding to the human finger being different from the first comparison result CR1 is further described. Figure 1 as well as Figure 5 , Figure 5 3 is a schematic diagram of a mechanism in which the second comparison result is different from the first comparison result according to an embodiment of the present invention. The fingerprint recognition device 120 also includes a light source (not shown) for providing sensing light. The light source provides sensing light to PL2 via the surface PL1. The sensor 121 receives the reflected light from the finger FGR to generate a fingerprint ridge image and a fingerprint valley image. In example 300A, when the finger FGR approaches the glass screen 110 but has not yet touched the glass screen 110, the distance between the fingerprint ridge and the glass screen 110 is small, while the distance between the fingerprint valley and the glass screen 110 is large. Therefore, compared with the light signal L1 reflected by the fingerprint ridge, the light signal L2 reflected by the fingerprint valley is relatively weak. In this embodiment, the light signal L1 reflected by the fingerprint ridge corresponds to the signal strength of the first fingerprint ridge image, and the light signal L2 reflected by the fingerprint valley corresponds to the signal strength of the first fingerprint valley image. The first comparison result CR1 shows that the signal strength of the first fingerprint ridge image is greater than the signal strength of the first fingerprint valley image.

[0044] In Example 300B, when the finger FGR presses the glass screen 110, the fingerprint ridge contacts the glass screen 110. Compared with Example 300A, the fingerprint valley in Example 300B is closer to the glass screen 110. Therefore, in Example 300B, the intensity of the light signal L2 reflected by the fingerprint valley is stronger than the light signal L2 reflected by the fingerprint valley in Example 300A. In addition, since the refractive index of the finger FGR (the refractive index of the skin is about 1.3 to 1.5) is close to the refractive index of the glass screen 110, part of the light signal L1_2 will enter the fingerprint ridge through the glass screen 110, and only part of the light signal L1_1 reflected by the fingerprint ridge will be received by the sensor 121. Therefore, the light signal L1_1 reflected by the fingerprint ridge received by the sensor 121 will be weaker than the light signal L2 of the fingerprint valley. In this embodiment, the light signal L1_1 reflected by the fingerprint ridge will correspond to the signal intensity of the second fingerprint ridge image, and the light signal L2 reflected by the fingerprint valley will correspond to the signal intensity of the second fingerprint valley image. The second comparison result CR2 shows that the signal strength of the second fingerprint ridge image is less than the signal strength of the second fingerprint valley image.

[0045] That is, in this embodiment, the signal strength of the first fingerprint ridge image and the signal strength of the second fingerprint ridge image are related to the refractive index of the glass screen 110 and the distance between the fingerprint ridge of the finger FGR and the glass screen 110. The signal strength of the first fingerprint valley image and the signal strength of the second fingerprint valley image are related to the distance between the fingerprint valley of the finger FGR and the glass screen 110. However, the present invention is not limited to this example.

[0046] In some embodiments, the signal characteristic of the first image IM1 may be a brightness value relationship between the first fingerprint ridge image and the first fingerprint valley image. The signal characteristic of the second image IM2 may be a brightness value relationship of the signal strength between the second fingerprint ridge image and the second fingerprint valley image. In the first image IM1, the brightness value of the first fingerprint ridge image may be greater than the brightness value of the first fingerprint valley image. The brightness value of the second fingerprint ridge image in the second image IM2 may be less than the brightness value of the second fingerprint valley image. Details of the above brightness value relationship may be found in Figures 3 to 5 Sufficient teaching is obtained from the embodiments of the present invention and will not be repeated again.

[0047] Please refer to Figure 1 as well as Figure 6 , Figure 6 is a schematic diagram of a first image and a second image from a fake finger according to an embodiment of the present invention. In this embodiment, the fake finger FO is, for example, a printed material with a fingerprint image. When the fake finger FO does not touch the glass screen 110, the sensor 121 acquires the first image FM1. When the fake finger FO presses the glass screen 110, the sensor 121 acquires the second image FM2. It should be noted that in the case where the fake finger FO does not have a physical fingerprint, the signal strength of the fingerprint ridge (valley) image in the first image FM1 and the signal strength of the fingerprint ridge (valley) image in the second image FM2 are substantially the same. The first comparison result CR1 corresponding to the first image FM1 and the second comparison result CR2 corresponding to the second image FM2 will not change at all due to whether the fake finger FO presses the glass screen 110. That is, since the first comparison result CR1 is the same as the second comparison result CR2, the processor 130 can determine that the fake finger FO is a flat printed fingerprint.

[0048] Please also refer to Figure 1 as well as Figure 7 . Figure 7 is a flow chart of a fingerprint recognition method according to another embodiment of the present invention. In this embodiment, step S110 and step S120 are Figure 2The same is omitted here. In step S131, the processor 130 determines whether the second comparison result CR2 is reversed relative to the first comparison result CR1. For example, when the first comparison result CR1 shows that the signal strength of the first fingerprint ridge image is greater than the signal strength of the first fingerprint valley image, when the second comparison result CR2 shows that the signal strength of the second fingerprint ridge image is less than the signal strength of the second fingerprint valley image, the processor 130 determines that the second comparison result CR2 is reversed relative to the first comparison result CR1. On the contrary, when the second comparison result CR2 shows that the signal strength of the second fingerprint ridge image is greater than the signal strength of the second fingerprint valley image, the processor 130 determines that the second comparison result CR2 is not reversed relative to the first comparison result CR1.

[0049] In this embodiment, if the second comparison result CR2 is determined to be inverted relative to the first comparison result CR1, the processor 130 determines that the finger FGR is a human finger in step S132. Next, the processor 130 identifies the fingerprint of the finger FGR in step S133.

[0050] In some embodiments, step S133 may be performed between step S110 and step S131. That is, the present invention may also determine whether the finger FGR is a human finger after identifying the finger FGR fingerprint. For example, step S133 may be between step S110 and step S120. After the processor 130 obtains the first image FM1 and the second image FM21 in step S110, it identifies the finger FGR fingerprint (step S133). After the finger FGR fingerprint passes (PASS) identification, the first comparison result CR1 and the second comparison result CR2 are then obtained in step S120. For another example, step S133 may be between step S120 and step S131. After the processor 130 obtains the first comparison result CR1 and the second comparison result CR2 in step S120, it identifies the finger FGR fingerprint (step S133). After the finger FGR fingerprint passes (PASS), the processor 130 performs the operation of step S131.

[0051] On the contrary, in step S131, if the second comparison result CR2 is determined not to be reversed relative to the first comparison result CR1, the processor 130 determines in step S134 that the finger FGR is not a human finger. The processor 130 does not identify the fingerprint of the finger FGR.

[0052] In summary, the fingerprint recognition device, electronic device, and fingerprint recognition method of the present invention will obtain a first image when the finger does not touch the glass screen, and obtain a second image when the finger presses on the glass screen. The fingerprint recognition device will obtain a first comparison result based on the first image, and obtain a second comparison result based on the second image. In this way, the fingerprint recognition device can identify whether the fingerprint is from a flat printed fingerprint based on the first comparison result and the second comparison result, so as to improve the security of fingerprint recognition.

[0053] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A fingerprint recognition device, suitable for enabling a processor to recognize a finger through a glass screen, characterized in that: The fingerprint recognition device comprises: a sensor, coupled to the processor, disposed below the surface of the glass screen, to acquire a first image when the finger does not touch the glass screen, and to acquire a second image when the finger presses against the glass screen, The processor compares the signal strength of the first fingerprint ridge image and the signal strength of the first fingerprint valley image in the first image to obtain a first comparison result, compares the signal strength of the second fingerprint ridge image and the signal strength of the second fingerprint valley image in the second image to obtain a second comparison result, and determines whether the finger is a human finger based on whether the first comparison result and the second comparison result are the same.

2. The fingerprint recognition device according to claim 1, characterized in that: When the first comparison result shows that the signal strength of the first fingerprint ridge image is greater than the signal strength of the first fingerprint valley image, and the second comparison result shows that the signal strength of the second fingerprint ridge image is less than the signal strength of the second fingerprint valley image, the processor determines that the finger is a human finger.

3. The fingerprint recognition device according to claim 2, characterized in that: The signal strength of the first fingerprint ridge image and the signal strength of the second fingerprint ridge image are related to the refractive index of the glass screen and the distance between the fingerprint ridge of the finger and the glass screen, and The signal strength of the first fingerprint valley image and the signal strength of the second fingerprint valley image are associated with the distance between the fingerprint valley of the finger and the glass screen.

4. The fingerprint recognition device according to claim 1, characterized in that When the first comparison result shows that the brightness value of the first fingerprint ridge image is greater than the brightness value of the first fingerprint valley image, and the second comparison result shows that the brightness value of the second fingerprint ridge image is less than the brightness value of the second fingerprint valley image, the processor determines that the finger is a human finger.

5. The fingerprint recognition device according to claim 4, characterized in that: The brightness value of the first fingerprint ridge image and the brightness value of the second fingerprint ridge image are related to the refractive index of the glass screen and the distance between the fingerprint ridge of the finger and the glass screen, and The brightness value of the first fingerprint valley image and the brightness value of the second fingerprint valley image are associated with the distance between the fingerprint valley of the finger and the glass screen.

6. The fingerprint recognition device according to claim 1, characterized in that: When the processor determines that the finger is a human finger, the fingerprint of the finger is identified.

7. The fingerprint recognition device according to claim 1, characterized in that: The processor identifies the fingerprint of the finger, and after the fingerprint of the finger is identified, determines whether the finger is a human finger based on the first comparison result and the second comparison result.

8. The fingerprint recognition device according to claim 1, characterized in that: The glass screen is one of an organic light emitting display and a screen of the organic light emitting display.

9. An electronic device, characterized in that: The electronic device comprises: Glass screen; The fingerprint recognition device as claimed in claim 1, configured to obtain a first image when the finger does not touch the glass screen through the glass screen, and obtain a second image when the finger presses on the glass screen; and A processor is coupled to the fingerprint recognition device, and is configured to compare a first fingerprint ridge image and a first fingerprint valley image in the first image to obtain a first comparison result, compare a second fingerprint ridge image and a second fingerprint valley image in the second image to obtain a second comparison result, and determine whether the finger is a human finger based on the first comparison result and the second comparison result.

10. A fingerprint recognition method, applicable to an electronic device, wherein the electronic device comprises a glass screen and a sensor, wherein the sensor is arranged below the surface of the glass screen, characterized in that: The fingerprint recognition method comprises: The sensor acquires a first image when the finger does not touch the glass screen, and acquires a second image when the finger presses the glass screen; Comparing the signal strength of the first fingerprint ridge image and the signal strength of the first fingerprint valley image in the first image to obtain a first comparison result, and comparing the signal strength of the second fingerprint ridge image and the signal strength of the second fingerprint valley image in the second image to obtain a second comparison result; and Whether the finger is a human finger is determined based on whether the first comparison result and the second comparison result are the same.

11. The fingerprint recognition method according to claim 10, characterized in that: The step of judging whether the finger is a human finger based on the first comparison result and the second comparison result comprises: When the first comparison result indicates that the signal strength of the first fingerprint ridge image is greater than the signal strength of the first fingerprint valley image, and the second comparison result indicates that the signal strength of the second fingerprint ridge image is less than the signal strength of the second fingerprint valley image, the finger is determined to be a human finger.

12. The fingerprint recognition method according to claim 11, characterized in that: The signal strength of the first fingerprint ridge image and the signal strength of the second fingerprint ridge image are related to the refractive index of the glass screen and the distance between the fingerprint ridge of the finger and the glass screen, and The signal strength of the first fingerprint valley image and the signal strength of the second fingerprint valley image are associated with the distance between the fingerprint valley of the finger and the glass screen.

13. The fingerprint recognition method according to claim 10, characterized in that: The step of judging whether the finger is a human finger based on the first comparison result and the second comparison result comprises: When the first comparison result shows that the brightness value of the first fingerprint ridge image is greater than the brightness value of the first fingerprint valley image, and the second comparison result shows that the brightness value of the second fingerprint ridge image is less than the brightness value of the second fingerprint valley image, the finger is determined to be a human finger.

14. The fingerprint recognition method according to claim 13, characterized in that: The brightness value of the first fingerprint ridge image and the brightness value of the second fingerprint ridge image are related to the refractive index of the glass screen and the distance between the fingerprint ridge of the finger and the glass screen, and The brightness value of the first fingerprint valley image and the brightness value of the second fingerprint valley image are associated with the distance between the fingerprint valley of the finger and the glass screen.

15. The fingerprint recognition method according to claim 10, characterized in that: When the finger is determined to be a human finger, the fingerprint of the finger is identified.

16. The fingerprint recognition method according to claim 10, characterized in that: The step of judging whether the finger is a human finger based on the first comparison result and the second comparison result comprises: Identifying the fingerprint of the finger; and After the fingerprint of the finger is identified, it is determined whether the finger is a human finger based on the first comparison result and the second comparison result.

Images