WO2018137285A1

WO2018137285A1 - Fingerprint verification method and electronic device

Info

Publication number: WO2018137285A1
Application number: PCT/CN2017/078384
Authority: WO
Inventors: 洪晟凯
Original assignee: 创智能科技股份有限公司
Priority date: 2017-01-24
Filing date: 2017-03-28
Publication date: 2018-08-02
Also published as: CN108345824A

Abstract

Provided are a fingerprint verification method and an electronic device. The fingerprint verification method comprises: executing a fingerprint sensing operation so as to obtain a fingerprint image; analysing the fingerprint image so as to obtain first feature information and second feature information, wherein the first feature information is a plurality of fingerprint features of the fingerprint image, and the second feature information is a plurality of pore features of the fingerprint image; combining the first feature information with the second feature information so as to obtain third feature information and fourth feature information; and verifying whether at least one of the third feature information and the fourth feature information of the fingerprint image matches the registered fingerprint image so as to recognise whether the fingerprint image is a real fingerprint image. The fingerprint verification method and the electronic device of the present invention can provide high-security fingerprint verification.

Description

Fingerprint verification method and electronic device

Technical field

The invention relates to a verification method, in particular to a fingerprint verification method and an electronic device.

Background technique

The types of biometrics include faces, sounds, irises, retinas, veins, fingerprints, and palmprint recognition. Since each person's fingerprint is unique and the fingerprint is not easy to change with age or physical health, the fingerprint recognition device has become the most popular biometric device. However, in the technical field of fingerprint recognition, since the fingerprint recognition is difficult to distinguish the difference between the authentic finger, if the fake finger mimics the fingerprint of the human finger, the verification of the conventional fingerprint recognition may cause a safety problem. Accordingly, how to provide accurate and safe fingerprint verification technology is an important issue at present.

Summary of the invention

The present invention is directed to a verification method, in particular, a fingerprint verification method and an electronic device applying the fingerprint verification method, to solve the problem in the prior art, the fake finger mimics the fingerprint of the human finger, and may pass the traditional fingerprint. The verification of the identification leads to a security issue.

According to an embodiment of the present invention, the fingerprint verification method includes: performing a fingerprint sensing operation to obtain a fingerprint image; analyzing the fingerprint image to obtain first feature information and second feature information, wherein the first feature information is a plurality of fingerprint features of the fingerprint image, the second feature information being a plurality of pore features of the fingerprint image; combining the first feature information and the second feature information to obtain third feature information and fourth Characteristic information, wherein the third feature information is a geometric relationship between each of the plurality of fingerprint features and a corresponding plurality of pore features in a preset range, and the fourth feature information is the a geometric relationship between each of the plurality of fingerprint features respectively corresponding to at least one of the corresponding plurality of pore features within a predetermined range and at least another of the corresponding plurality of pore features; Whether at least one of the third feature information and the fourth feature information of the fingerprint image matches the registered fingerprint image to identify the finger The image is a real fingerprint image.

In the fingerprint verification method according to the embodiment of the present invention, the step of acquiring the plurality of fingerprint features of the fingerprint image includes verifying whether the first feature information of the fingerprint image matches the registered fingerprint image, The fingerprint sensing operation is re-executed at a decision.

In the fingerprint verification method according to the embodiment of the present invention, the step of acquiring the third feature information and the fourth feature information includes: recording feature points of each of the plurality of fingerprint features in the preset range The number of the plurality of pore features corresponding to the inside is used as the third feature information.

In the fingerprint verification method according to the embodiment of the present invention, the step of acquiring the third feature information and the fourth feature information includes: recording the feature points of each of the plurality of fingerprint features in the pre- A distance within each of the plurality of pore features is set as the third characteristic information.

In the fingerprint verification method according to the embodiment of the present invention, the step of acquiring the third feature information and the fourth feature information includes: recording the feature points of each of the plurality of fingerprint features in the pre- A line direction within the range and each of the plurality of pore features is set as the third feature information.

In the fingerprint verification method according to the embodiment of the present invention, the step of acquiring the third feature information and the fourth feature information includes: recording the feature points of each of the plurality of fingerprint features in the pre- A distance between at least one of the plurality of pore features corresponding to the range and at least another of the corresponding plurality of pore features is set as the fourth feature information.

In the fingerprint verification method according to an embodiment of the present invention, each of the plurality of fingerprint features has at least two pore features within the preset range.

In the fingerprint verification method according to the embodiment of the present invention, the method further includes: after identifying the fingerprint image as the real fingerprint image, verifying the fourth feature information of the fingerprint image and the registered fingerprint image again Whether it matches, to determine whether the fingerprint image can pass the verification.

According to an embodiment of the present invention, an electronic device includes: an image analysis module, configured to analyze a fingerprint image to obtain first feature information and second feature information, wherein the first feature information is a plurality of fingerprint features of the fingerprint image The second feature information is a plurality of pore features of the fingerprint image, and the image analysis module is further configured to combine the first feature information and the second feature information to obtain third feature information and Four feature information, wherein the third feature information is that each of the plurality of fingerprint features is within a preset range and a corresponding one of the plurality of pore features a geometric relationship, wherein the fourth feature information is that at least one of the corresponding plurality of pore features and each of the plurality of pore features are respectively within a preset range of each of the plurality of fingerprint features a geometric relationship between at least one of the other; and a fingerprint verification module, configured to verify whether the registered fingerprint image matches at least one of the third feature information of the fingerprint image and the fourth feature information, The fingerprint image is identified as a real fingerprint image.

In an electronic device according to an embodiment of the present invention, after the fingerprint verification module identifies that the fingerprint image is the real fingerprint image, the fingerprint verification module verifies the fingerprint image again by using the registered fingerprint image. Whether the fourth feature information matches the registered fingerprint image to determine whether the fingerprint image can pass verification.

Based on the above, the fingerprint verification method and the electronic device of the present invention can provide an accurate and highly secure fingerprint verification function by analyzing the geometric relationship between the fingerprint feature and the pore feature.

The above described features and advantages of the invention will be apparent from the description and appended claims appended claims

DRAWINGS

1 is a block diagram of an electronic device according to an embodiment of the invention;

2 is a flow chart showing a fingerprint verification method according to an embodiment of the invention;

3 is a schematic diagram of a fingerprint image according to an embodiment of the invention;

4A is a schematic diagram of first feature information according to an embodiment of the invention;

4B is a schematic diagram showing second feature information according to an embodiment of the invention;

FIG. 5A is a schematic diagram of third feature information according to an embodiment of the invention; FIG.

FIG. 5B is a schematic diagram showing fourth feature information according to an embodiment of the invention; FIG.

FIG. 6 is a flowchart of a fingerprint registration method according to an embodiment of the invention; FIG.

FIG. 7 is a flow chart showing a fingerprint verification method according to another embodiment of the present invention.

Description of the reference signs:

100: an electronic device;

110: a fingerprint sensor;

120: processor;

130: a storage device;

131: image analysis module;

132: a fingerprint verification module;

S210, S220, S230, S240, S1010, S1020, S1030, S1040, S1050, S1060, S1070, S1110, S1120, S1130, S1140, S1150, S1160, S1170, S1180: steps;

FI_1, FI_2, FI_3, FI_4, FI_5: fingerprint image;

401, 402, 403, 404, 405, 406, 601, 801: fingerprint features;

500, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 901, 902: pore characteristics;

601S, 801S: preset range;

R: radius;

A1, b1: distance;

D1: direction.

detailed description

Reference will now be made in detail to the exemplary embodiments embodiments Wherever possible, the same element symbols are used in the FIGS.

1 is a block diagram of an electronic device shown in accordance with an embodiment of the present invention. Referring to FIG. 1, in the embodiment, the electronic device 100 is, for example, a smart phone, a tablet, a desktop computer or a notebook computer or other similar electronic device having a fingerprint sensor. The electronic device 100 includes a fingerprint sensor 110, a processor 120, and a storage device 130.

In this embodiment, the fingerprint sensor 110 can be an optical, resistive, capacitive or other kind of sensing element for sensing a user's operation (eg, touching or approaching) to obtain a fingerprint image. However, the invention is not limited thereto. A person skilled in the art can select a fingerprint sensor 110 that acquires a fingerprint image in a different manner as needed.

In this embodiment, the processor 120 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 (ASIC), Programmable Logic Device (PLD) or other similar devices or a combination of these devices. The processor 120 is coupled to the fingerprint sensor 110 and the storage device 130. The processor 120 loads the image analysis module 131 and the fingerprint verification module 132 from the storage device 130, and executes the present invention accordingly. The fingerprint verification method of the embodiment. That is, the image analysis module 131 and the fingerprint verification module 132 of the present embodiment are implemented in the form of software, and the image analysis module 131 and the fingerprint verification module 132 may further include a plurality of sub-image processing modules to implement the present invention. The fingerprint verification method of the embodiment.

In this embodiment, the storage device 130 can be any type of fixed or removable random access memory (RAM), read-only memory (ROM), flash memory, or the like. Element or combination of the above elements. In the present embodiment, the storage device 130 is used to record the image analysis module 131 and the fingerprint verification module 132, such as programs stored in the storage device 130. Moreover, in an embodiment, the storage device 130 can also be used to store fingerprint images acquired by the fingerprint sensor 110.

2 is a flow chart of a fingerprint verification method according to an embodiment of the invention. Referring to FIG. 1 and FIG. 2, the fingerprint verification method of the present embodiment is applied to the electronic device 100 of FIG. 1, and the detailed steps of the fingerprint verification method of the present invention are described below with the components in the electronic device 100.

First, in step S210, the electronic device 100 may perform a fingerprint sensing operation through the fingerprint sensor 110 to acquire a fingerprint image. The fingerprint sensing operation means that when the user's finger is pressed on the fingerprint sensor 110, the fingerprint sensor 110 can acquire the image of the user's finger, and further obtain the fingerprint of the user through image analysis. Next, in step S220, the processor 120 may analyze the fingerprint image by executing the image analysis module 131 to obtain the first feature information and the second feature information. The first feature information is a plurality of fingerprint features in the fingerprint image, and the second feature information is a plurality of pore features in the fingerprint image. Then, the processor 120 can further obtain the third feature information and the fourth feature information by performing the image analysis module 131 to combine the first feature information and the second feature information. For example, a plurality of fingerprint features and positions, coordinates or images of a plurality of pore features are overlapped to obtain a relative geometric relationship between the plurality of fingerprint features and the plurality of pore features. Therefore, in this embodiment, the third feature information is a geometric relationship between each of the plurality of fingerprint features and the corresponding plurality of pore features in a preset range. The fourth feature information is a geometric relationship between at least one of the plurality of corresponding pore features in each of the plurality of fingerprint features and at least one of the corresponding plurality of pore features. Finally, the processor 120 can verify whether the at least one of the third feature information of the fingerprint image and the fourth feature information matches the registered fingerprint image by performing the fingerprint verification module 132 to identify the fingerprint image as a real fingerprint image.

That is to say, even if the fake finger mimics the fingerprint texture and the fingerprint feature, it even mimics a part of the pore feature. However, the fake finger cannot imitate all the pore features like the living body, and the relative position of each pore feature cannot be the same as the real finger of the living body. Therefore, the electronic device 100 of the present embodiment can further verify whether the fingerprint image obtained by the fingerprint sensor 110 is a real finger taken from a living body by analyzing a plurality of fingerprint features of the fingerprint image and a geometric relationship between the plurality of pore features. This eliminates the false finger pass verification.

FIG. 3 is a schematic diagram of a fingerprint image according to an embodiment of the present invention. Referring to FIG. 1 and FIG. 3, the fingerprint image acquired by the fingerprint sensor 110 of the embodiments of the present invention may be, for example, the fingerprint shown in FIG. 3. Image FI_1. In the present embodiment, the fingerprint image FI_1 may be an image of all or part of the finger, and the present invention is not limited thereto. Also, in the present embodiment, the fingerprint image FI_1 has the characteristics of fingerprint lines and pores.

4A is a schematic diagram of first feature information shown in accordance with an embodiment of the present invention. 4B is a schematic diagram of second feature information shown in accordance with an embodiment of the present invention. Referring to FIG. 1 and FIG. 4A, the first feature information described in the embodiments of the present invention may be, for example, the fingerprint image FI_2 shown in FIG. 4A. In this embodiment, the processor 120 can analyze the fingerprint image FI_2 by executing the image analysis module 131, and further obtain the positions of the plurality of fingerprint features 401-406, wherein the fingerprint feature can be, for example, the endpoint of the fingerprint line of the finger. Fork points or short lines, etc., the invention is not limited. Referring to FIG. 1 and FIG. 4B again, the second feature information according to various embodiments of the present invention may be the fingerprint image FI_3 as shown in FIG. 4B. In this embodiment, the processor 120 may analyze the fingerprint image FI_3 by executing the image analysis module 131 to further obtain the positions of the plurality of pore features 500.

Specifically, in this embodiment, the processor 120 may perform image analysis and processing on the fingerprint image acquired by the fingerprint sensor 110, for example, analyzing the grayscale degree or change of the fingerprint image. For example, the processor 120 may define a texture whose grayscale value is higher than a preset threshold as a fingerprint, and determine a position of an end point, a bifurcation point or a short pattern of the fingerprint texture as a fingerprint feature. As another example, processor 120 may define locations of individual points that vary in grayscale as a pore feature. However, in an embodiment, the fingerprint image may be determined according to different types of fingerprint sensors 110, and the analysis of the fingerprint image may also perform color change analysis using, for example, a color fingerprint image, and the present invention is not limited thereto.

FIG. 5A is a schematic diagram of third feature information according to an embodiment of the invention. FIG. 5B is a schematic diagram of fourth feature information according to an embodiment of the invention. Please refer to Figure 1 and 5A, the third feature information described in the embodiments of the present invention may be, for example, the fingerprint image FI_4 shown in FIG. 5A. In this embodiment, the processor 120 may combine the first feature information and the second feature information of the fingerprint image by performing the image analysis module 131 to further obtain the third feature information.

Specifically, in the embodiment, the image analysis module 131 can combine the position information of the fingerprint feature and the position information of the pore feature, and in particular, determine the corresponding pore feature within the preset range of each fingerprint feature. As shown in FIG. 5A, the fingerprint feature 601 can have 14 pore features 701-714 within a predetermined range 601S of the radius R. The image analysis module 131 can record the geometric relationship between the fingerprint feature 601 and the pore features 701-714 as the third feature information. In the present embodiment, the radius R may be preset such that each of the fingerprint features has at least two pore features within a predetermined range 601S. In an embodiment, the size of the radius R can be set according to different judgment requirements, and the invention is not limited thereto.

In this embodiment, the third feature information may be a geometric relationship between the fingerprint feature 601 and the pore features 701-714. In an embodiment, the image analysis module 131 may, for example, record the number of corresponding pore features 701 to 714 of the feature points of the fingerprint feature 601 within the preset range 601S as the third feature information. Alternatively, in another embodiment, the image analysis module 131 may, for example, record the distance between the feature points of the fingerprint feature 601 and each of the pore features 701-714 within the preset range 610S as the third feature. information. For example, the distance a1 between the fingerprint feature 601 and the pore feature 701. Alternatively, in another embodiment, the image analysis module 131 may, for example, record the connection direction or vector of the feature points of the fingerprint feature 601 within each of the preset features 601S and the pore features 701-714 as the third Feature information. For example, the fingerprint feature 601 and the connection feature direction d1 of the pore feature 701. It should be noted that the third feature information of each embodiment of the present invention may include at least the number of pore features, the distance between the fingerprint feature and the pore feature, and the connection direction between the fingerprint feature and the pore feature described in the above embodiments. At least one of them.

Referring to FIG. 1 and FIG. 5B, the fourth feature information according to various embodiments of the present invention may be, for example, the fingerprint image FI_5 shown in FIG. 5B. In this embodiment, the processor 120 may combine the first feature information and the second feature information of the fingerprint image by performing the image analysis module 131 to further obtain the fourth feature information.

Specifically, in the embodiment, the image analysis module 131 can combine the position information of the fingerprint feature and the position information of the pore feature, and in particular, determine the corresponding pore feature within the preset range of each fingerprint feature. As shown in FIG. 5B, the fingerprint feature 801 is within a preset range 801S of the radius R. It can have 14 pore features. The image analysis module 131 may record the geometric relationship between the respective pore features in the preset range 801S of the fingerprint feature 801 as the fourth feature information.

In this embodiment, the image analysis module 131 may, for example, be that the feature point of the recorded fingerprint feature 801 is between at least one of the corresponding pore features in the preset range 801S and at least one of the corresponding respective pore features. The distance as the fourth feature information. For example, the distance b1 between the pore feature 901 and the pore feature 902. In the present embodiment, the image analysis module 131 can record the distance between all or part of the respective pore features. That is, the radius R of the embodiment may be preset to include at least two pore features, so that the image analysis module 131 can obtain the geometric relationship between the two pore features, but the invention is not limited thereto.

FIG. 6 is a flowchart of a fingerprint registration method according to an embodiment of the present invention. Please refer to FIG. 1 and FIG. 6. In this embodiment, the electronic device 100 may pre-store a registered fingerprint image for verification. Moreover, the fingerprint registration method of the present embodiment is applied to the electronic device 100 of FIG. 1, and the detailed steps of the fingerprint registration method of the present invention are described below in conjunction with the components in the electronic device 100.

First, in step S1010, the electronic device 100 may perform a fingerprint sensing operation through the fingerprint sensor 110 to acquire a fingerprint image. Next, in step S1020 and step S1040, the image analysis module 131 may analyze the fingerprint image to obtain a plurality of fingerprint features and obtain a plurality of pore features. Then, in step S1030 and step S1050, the image analysis module 131 can respectively locate a plurality of fingerprint features among the fingerprint images and positions of the plurality of pore features (like the first feature information and the second feature information). Moreover, in step S1060, the image analysis module 131 is further configured to calculate a geometric relationship between each of the plurality of fingerprint features and a corresponding plurality of pore features in a preset range, and calculate each of the plurality of fingerprint features. The geometric relationship between a plurality of pore features corresponding to a preset range (like the third feature information and the fourth feature information). Finally, in step S1070, the image analysis module 131 may record the fingerprint image and the analysis result described above in the storage device as the registered fingerprint image.

FIG. 7 is a flow chart showing a fingerprint verification method according to another embodiment of the present invention. 1 and 7 are referred to. The fingerprint registration method of the present embodiment is applicable to the electronic device 100 of FIG. 1, and the detailed steps of the fingerprint verification method of the present invention are described below with the components in the electronic device 100.

First, in step S1110, the electronic device 100 may perform a fingerprint sensing operation through the fingerprint sensor 110 to acquire a fingerprint image. Next, in step S1120 and step S1040, the image The analysis module 131 can analyze the fingerprint image to obtain a plurality of fingerprint features and obtain a plurality of pore features. Then, in step S1130 and step S1150, the image analysis module 131 can respectively locate the plurality of fingerprint features and the positions of the plurality of pore features among the fingerprint images as the first feature information and the second feature information, respectively. Then, in step S1160, the image analysis module 131 may first verify whether the first feature information matches the registered fingerprint image to determine whether to retake the fingerprint image. That is to say, the fingerprint registration method of the embodiment may first determine whether the fingerprint feature in the fingerprint image is identical to the fingerprint feature of the fingerprint image registered by the user to determine whether to continue execution. In this regard, unnecessary analysis and verification can be avoided for the fingerprint image in which the fingerprint feature does not match the registered fingerprint image.

Then, in step S1170, when the image analysis module 131 determines that the fingerprint feature of the fingerprint image matches the registered fingerprint image, the image analysis module 131 may further combine the first feature information and the second feature information to obtain the third feature information. And fourth characteristic information. Finally, in step S1180, the processor 120 may execute the fingerprint verification module 132 to verify whether at least one of the third feature information of the fingerprint image and the fourth feature information matches the registered fingerprint image. That is, if the fingerprint image and the registered fingerprint image have at least one of the third feature information and the fourth feature information, the fingerprint verification module 132 determines to pass the verification, so that the electronic device 100 can enter the next step, for example. The present invention is not limited by the stage of work or the execution of the application. On the other hand, if the fingerprint image does not have the same third feature information and fourth feature information as the registered fingerprint image, the processor 120 determines that the fingerprint image is a non-authentic fingerprint image, and re-executes the fingerprint sensing operation to re- Get a fingerprint image. Incidentally, in step S1180, the processor 120 may decide to use the third feature information or the fourth feature information of the fingerprint image separately according to different verification requirements, or use the third feature information of the fingerprint image and the first Four feature information is used for verification, and the present invention is not limited thereto.

In summary, the fingerprint verification method and the electronic device of the present invention can obtain a plurality of fingerprint features and a plurality of pore features by performing an image analysis module, and combine the two to further record a plurality of fingerprint features and a plurality of pore features. The relative relationship between the two. That is, the fingerprint verification method and the electronic device of the present invention can accurately perform fingerprint verification by verifying the fingerprint features between the acquired fingerprint image and the registered fingerprint image and the geometric relationship between the pore features, and The fingerprint of the non-living pseudo finger can be effectively prevented from passing through verification, and the high-security fingerprint recognition function is further provided.

It should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, and are not intended to be limiting; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that The technical solutions described in the foregoing embodiments may be modified, or some or all of the technical features may be equivalently replaced; and the modifications or substitutions do not deviate from the technical solutions of the embodiments of the present invention. range.

Claims

A fingerprint verification method, comprising:

Performing a fingerprint sensing operation to obtain a fingerprint image;

And analyzing the fingerprint image to obtain first feature information and second feature information, wherein the first feature information is a plurality of fingerprint features of the fingerprint image, and the second feature information is multiple of the fingerprint image Pore characteristics

Combining the first feature information and the second feature information to obtain third feature information and fourth feature information, wherein the third feature information is each of the plurality of fingerprint features respectively within a preset range a geometric relationship between the plurality of pore features corresponding to the corresponding plurality of pore features, wherein each of the plurality of fingerprint features is at least corresponding to the plurality of pore features within the predetermined range a geometric relationship between one of the ones and at least one of the corresponding one of the plurality of pore features;

Verifying whether at least one of the third feature information and the fourth feature information of the fingerprint image matches the registered fingerprint image to identify the fingerprint image as a real fingerprint image.
The fingerprint verification method according to claim 1, wherein the step of acquiring the plurality of fingerprint features of the fingerprint image comprises:

Verifying whether the first feature information of the fingerprint image matches the registered fingerprint image to determine to re-execute the fingerprint sensing operation.
The fingerprint verification method according to claim 1, wherein the step of acquiring the third feature information and the fourth feature information comprises:

Recording, by the feature point of each of the plurality of fingerprint features, the number of the plurality of pore features corresponding to the preset range as the third feature information.
The fingerprint verification method according to claim 1, wherein the step of acquiring the third feature information and the fourth feature information comprises:

Recording, by the feature point of each of the plurality of fingerprint features, a distance from each of the plurality of pore features within the preset range as the third feature information.
The fingerprint verification method according to claim 1, wherein the step of acquiring the third feature information and the fourth feature information comprises:

Recording, in the preset range, a connection direction of each of the plurality of fingerprint features and each of the plurality of pore features as the third feature information.
The fingerprint verification method according to claim 1, wherein the step of acquiring the third feature information and the fourth feature information comprises:

Recording that the feature point of each of the plurality of fingerprint features is at least one of the corresponding plurality of pore features and the other one of the corresponding plurality of pore features within the predetermined range The distance between the two is used as the fourth feature information.
The fingerprint verification method according to claim 1, wherein each of the plurality of fingerprint features has at least two pore features within the predetermined range.
The fingerprint verification method according to claim 1, further comprising:

After the fingerprint image is identified as the real fingerprint image, it is verified that the fourth feature information of the fingerprint image matches the registered fingerprint image to determine whether the fingerprint image can pass the verification.
An electronic device, comprising:

An image analysis module, configured to analyze the fingerprint image to obtain the first feature information and the second feature information, wherein the first feature information is a plurality of fingerprint features of the fingerprint image, and the second feature information is the fingerprint a plurality of pore features of the image, and the image analysis module is further configured to combine the first feature information and the second feature information to obtain third feature information and fourth feature information, wherein the third feature information For each of the plurality of fingerprint features, respectively, within a preset range and a geometric relationship between the corresponding plurality of pore features, the fourth feature information being each of the plurality of fingerprint features respectively Having a geometric relationship between at least one of the corresponding plurality of pore features within the range and at least one of the corresponding one of the plurality of pore features;

And a fingerprint verification module, configured to verify whether the registered fingerprint image matches at least one of the third feature information of the fingerprint image and the fourth feature information, to identify the fingerprint image as a real fingerprint image.
The electronic device according to claim 9, wherein after the fingerprint verification module identifies that the fingerprint image is the real fingerprint image, the fingerprint verification module verifies the fingerprint again by using the registered fingerprint image Whether the fourth feature information of the image matches the registered fingerprint image to determine whether the fingerprint image can pass verification.