WO2017024667A1

WO2017024667A1 - Fingerprint verification method and apparatus

Info

Publication number: WO2017024667A1
Application number: PCT/CN2015/091358
Authority: WO
Inventors: 姚丽辉
Original assignee: 宇龙计算机通信科技(深圳)有限公司
Priority date: 2015-08-11
Filing date: 2015-09-30
Publication date: 2017-02-16
Also published as: CN105550630B; CN105550630A

Abstract

Disclosed is a fingerprint verification method. The method comprises: collecting fingerprints of designated areas of at least two fingers to obtain an original fingerprint image of each of the fingers; combining the collected original fingerprint images to obtain a verified fingerprint image; extracting fingerprint feature information about the verified fingerprint image; and determining whether the extracted fingerprint feature information matches pre-stored fingerprint feature information, and outputting a determination result. Correspondingly, also disclosed is a fingerprint verification apparatus. By means of the present invention, leakage of complete fingerprint information can be prevented from the source of fingerprint collection, thereby improving fingerprint security.

Description

Fingerprint verification method and device

Technical field

The present invention relates to the field of information technology, and in particular, to a fingerprint verification method and apparatus.

Background technique

The fingerprint refers to the lines created by the unevenness on the front side of the human body, and the lines are regularly arranged to form different patterns. Since each person's fingerprint is different, there is a clear difference between the fingers of the same person, so the fingerprint can be used for identification. The fingerprint feature points provide confirmation information about the uniqueness of the fingerprint. Among them, the most typical fingerprint feature points are the termination point and the bifurcation point, and other points include divergence points, isolated points, ring points, short lines, and the like. Fingerprint feature point parameters include direction (nodes can be oriented in a certain direction), curvature (describes the speed at which the direction of the grain changes), and position (the position of the node is described by x/y coordinates, which can be absolute or relative to a triangle Point or feature point). The current fingerprint verification methods are all verified by the fingerprint information of a single single or multiple fingers, and there is a risk of leakage of complete fingerprint information.

Summary of the invention

The invention provides a fingerprint verification method and device, which can prevent leakage of complete fingerprint information from the source of fingerprint collection and improve the security of the fingerprint.

A first aspect of the present invention provides a fingerprint verification method, including:

Collecting fingerprints of at least two finger designated areas to obtain an original fingerprint image of each of the fingers;

Combining the collected original fingerprint images to obtain a verification fingerprint image;

Extracting fingerprint feature information of the verification fingerprint image;

Determining whether the extracted fingerprint feature information matches the pre-stored fingerprint feature information, and outputting the determination result.

The acquiring the fingerprint of the at least two finger designated areas to obtain the original fingerprint image of each of the fingers includes:

The fingerprints of the at least two finger designated areas are acquired simultaneously or sequentially to obtain an original fingerprint image of each of the fingers.

Preferably, the acquiring the fingerprint of the at least two finger designated areas to obtain the original fingerprint image of each of the fingers comprises:

Collecting a fingerprint of a left side area, a right side area, an upper side area, or a lower side area of the first finger to obtain a first original fingerprint image;

Collecting a fingerprint of a left side area, a right side area, an upper side area or a lower side area of the second finger to obtain a second original fingerprint image;

Combining the collected original fingerprint images to obtain a verification fingerprint image includes:

The first original fingerprint image and the second original fingerprint image are combined according to a preset combination manner to obtain the verification fingerprint image.

Further, the extracting the fingerprint feature information of the verification fingerprint image includes:

Detecting an area and/or an edge curvature of a blank area between the first original fingerprint image and the second original fingerprint image in the verification fingerprint image, and using the detection result as the fingerprint feature information.

The fingerprint feature information includes at least one of a fingerprint pattern, a fingerprint shape, and a fingerprint feature point parameter.

Correspondingly, the second aspect of the present invention further provides a fingerprint verification apparatus, including:

a fingerprint collection module, configured to collect fingerprints of at least two finger designated areas to obtain an original fingerprint image of each of the fingers;

a fingerprint image processing module, configured to combine the collected original fingerprint images to obtain a verification fingerprint image;

a feature information extraction module, configured to extract fingerprint feature information of the verification fingerprint image;

a determining module, configured to determine whether the extracted fingerprint feature information matches the pre-stored fingerprint feature information;

An output module for outputting a judgment result.

The fingerprint collection module is specifically configured to:

Preferably, the fingerprint collection module is specifically configured to:

Collecting fingerprints of the left side area, the right side area, the upper side area, or the lower side area of the second finger to obtain the first Two original fingerprint images;

The fingerprint image processing module is specifically configured to:

Further, the feature information extraction module is specifically configured to:

The implementation of the present invention has the following beneficial effects:

The invention obtains the original fingerprint image of each of the fingers by acquiring fingerprints of at least two finger designated areas, and combines the collected original fingerprint images to obtain a verification fingerprint image, and then performs matching judgment on the verification fingerprint image. When collecting the original fingerprint image, only part of the fingerprint of each finger is collected, and the leakage of the complete fingerprint information is prevented from the source of the fingerprint collection, thereby improving the security of the fingerprint.

DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments will be briefly described below. It is obvious that the drawings in the following description are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without paying any creative work.

1 is a schematic flowchart of a fingerprint verification method according to an embodiment of the present invention;

2 is a schematic diagram of a combined verification fingerprint image according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of another combined verification fingerprint image according to an embodiment of the present invention; FIG.

4 is a schematic diagram of still another combined verification fingerprint image according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of still another combined verification fingerprint image according to an embodiment of the present invention; FIG.

FIG. 6 is a schematic flowchart diagram of another fingerprint verification method according to an embodiment of the present invention;

FIG. 7 is a fingerprint verification apparatus according to an embodiment of the present invention.

detailed description

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

1 is a schematic flowchart of a fingerprint verification method according to an embodiment of the present invention; the embodiment of the present invention can be applied to any identity verification system including fingerprint authentication, such as an access control system, terminal screen unlocking, file unlocking, and the like. And the like; as shown in FIG. 1, the fingerprint verification method may include:

Step S101: Collect fingerprints of at least two finger designated areas to obtain an original fingerprint image of each of the fingers.

Specifically, the original fingerprint image of the finger can be collected by the fingerprint collection device. The original fingerprint image is an unprocessed fingerprint image collected by the fingerprint collection device, and the original fingerprint image of each finger only includes a partial fingerprint of the finger, and the partial fingerprint is a fingerprint of the designated area of the finger. The fingerprint collection device can be provided with a fingerprint sensor. The fingerprint sensor is mainly divided into two types according to the collection mode: the wiper type and the push type. According to the signal collection principle, there are optical, pressure sensitive, capacitive, inductive and thermal type. And ultrasonic type. In addition, the fingerprint collector can also obtain fingerprint images through a scanner, a digital camera, or the like.

In a specific implementation, a fingerprint of the left side area, the right side area, the upper side area, or the lower side area of the finger may be collected as an original fingerprint image of each of the fingers; it should be noted that how to divide the fingerprint up and down and left and right is Those skilled in the art can understand that no further details are provided herein.

When fingerprints of at least two fingers are collected, taking the fingerprint of two fingers as an example, the fingerprint can be collected by any of the following two methods:

Method 1: The fingerprint collection device is provided with two fingerprint sensors, and the fingerprints of the two finger designated areas are respectively acquired by the two fingerprint sensors to obtain the original fingerprint images of the two fingers; in the specific implementation, the fingerprint collection device is used. The first fingerprint sensor collects a designated area of the first finger, such as a fingerprint of the left side area, the right side area, the upper side area, or the lower side area as the first original fingerprint image; and the second fingerprint sensor of the fingerprint collecting apparatus collects the first fingerprint sensor a fingerprint of a designated area of the two fingers, such as a left side area, a right side area, an upper side area, or a lower side area as a second original fingerprint image; wherein the designated areas of the first finger and the second finger may be the same or different, the present invention Not limited.

The fingerprint collection device can set a fingerprint sensor to collect the fingerprint of the designated finger. For example, setting the fingerprint image collected by the fingerprint sensor on the left side of the specified fingerprint collection device as the original finger of the first finger. The image of the image, the fingerprint image collected by the fingerprint sensor on the right side is the original fingerprint image of the second finger.

Method 2: The fingerprint collection device is provided with a fingerprint sensor, and the fingerprints of the two finger designated areas are acquired by the fingerprint sensor in sequence to obtain the original fingerprint images of the two fingers;

The original fingerprint image collected may be determined according to the sequence of fingerprint collection. For example, the fingerprint image collected for the first time is set as the first original fingerprint image, and the fingerprint image collected again is the second original fingerprint image, which may be collected first. The fingerprint of the designated area of one finger, such as the fingerprint of the left area, the right area, the upper area or the lower area, is used as the first original fingerprint image, and then the left side area, the right side area, the upper side area or the lower side of the second finger is collected. The fingerprint of the side area is used as the second original fingerprint image, wherein the designated areas of the first finger and the second finger may be the same or different, which is not limited by the present invention.

If the designated area of the first finger is the same as the designated area of the second finger, taking the left area as an example, the fingerprint of the left area of the first finger is first acquired as the first original fingerprint image, and then the left area of the second finger is acquired. The fingerprint is used as the second original fingerprint image;

If the designated area of the first finger and the designated area of the second finger are different, the first finger takes the left area as an example, and the second finger takes the right area as an example, first obtains the left side area fingerprint of the first finger as the first An original fingerprint image is obtained, and the right region fingerprint of the second finger is acquired as the second original fingerprint image.

When it is necessary to collect fingerprints of two or more fingers, and so on, it will not be described here.

Step S102, combining the collected original fingerprint images to obtain a verification fingerprint image.

The collected original fingerprint images of each finger may be combined according to a preset combination manner to obtain a verification fingerprint image, and the preset combination manner includes but is not limited to the left and right combination or the upper and lower combination;

If the combination mode is a left-right combination, and the right-region fingerprint of the first finger is collected as the first original fingerprint image in step S101, and the left-region fingerprint of the second finger is used as the second original fingerprint image, The second original fingerprint image is placed on the left side of the first original fingerprint image to be combined into the verification fingerprint image, as shown in FIG. 2;

If the combination mode is left and right combination, and the fingerprint of the left area of the first finger is collected as the first original fingerprint image in step S101, and the fingerprint of the right area of the second finger is used as the second original fingerprint image, The second original fingerprint image is placed on the right side of the first original fingerprint image to be combined into the verification fingerprint image, as shown in FIG. 3;

If the combination mode is up-and-down combination, and the upper-side area fingerprint of the first finger is collected as the first original fingerprint image in step S101, and the lower-side area fingerprint of the second finger is used as the second original fingerprint image, Placing a second original fingerprint image on the upper side of the first original fingerprint image to combine Forming the verification fingerprint image as shown in FIG. 4;

If the combination mode is a combination of upper and lower, and the fingerprint of the lower side of the first finger is collected as the first original fingerprint image in step S101, and the fingerprint of the upper side of the second finger is used as the second original fingerprint image, Putting a second original fingerprint image on a lower side of the first original fingerprint image to be combined into the verification fingerprint image, as shown in FIG. 5;

It should be noted that the above several embodiments are merely representative of several achievable modes of the present invention, and the description thereof is more specific and detailed, but is not to be construed as limiting the scope of the invention. It should be noted that a number of variations and modifications may be made by those skilled in the art without departing from the spirit and scope of the invention.

Still further, the obtained verification fingerprint image can also be processed. Specifically, the verification fingerprint image can be processed by fingerprint area detection, image quality judgment, direction and frequency estimation, image enhancement, fingerprint image binarization and refinement. The verification fingerprint image with noise and pseudo features is processed by a certain algorithm to make the structure of the grain clear and the feature information prominent, which can improve the quality of the fingerprint image and improve the accuracy of feature extraction.

Step S103, extracting fingerprint feature information of the verification fingerprint image.

The fingerprint feature information may include at least one of a fingerprint pattern, a fingerprint shape, and a fingerprint feature point parameter. Preferably, the fingerprint feature information may include a fingerprint pattern and a fingerprint shape, or a fingerprint pattern and a fingerprint feature point parameter.

The fingerprint pattern is determined according to the direction and distribution of the fingerprint ridge line, and can be divided into three types: ring type (also known as bucket line), bow shape and spiral shape;

Fingerprint patterns include core points and triangle points. The core point is that the reference point is located at the progressive center of the fingerprint; the triangle point provides the beginning of the count tracking of the fingerprint pattern, located at the first bifurcation or breakpoint from the core point, or the convergence of the two-striped road, isolated point , turn around, or point to these singularities.

The fingerprint feature point parameters include the direction of the fingerprint feature point, the curvature (describe the speed at which the texture direction changes), and the position (the position of the node is described by x/y coordinates, which may be absolute or relative to a triangular point or a feature point. Wherein, the fingerprint feature points are detailed features in the fingerprint, and generally include a line end point, a bifurcation point, an isolated point, a short fork and a ring, and the like. Specifically, the fingerprint feature information of each part of the verification fingerprint image may be extracted. For example, the verification fingerprint image is as shown in FIG. 2, and when extracting the fingerprint feature information of the verification fingerprint image, respectively extracting the left The fingerprint feature information of the fingerprint image of the side portion and the fingerprint feature information of the fingerprint image of the right portion.

It should be noted that how to extract fingerprint shape, fingerprint shape and fingerprint feature point parameters in the fingerprint image is understandable by those skilled in the art, and details are not described herein again.

Further, if the extracted verification fingerprint image is as shown in FIG. 2 to FIG. 5, the fingerprint feature information of the verification fingerprint image may be:

Detecting an area and/or an edge curvature of a blank area between the first original fingerprint image and the first original fingerprint image in the verification fingerprint image, and using the detection result as the fingerprint feature information. For example, the area of the verification blank image may be: detecting the total area of the verification fingerprint image, the area of the first original fingerprint image and the area of the second original fingerprint image, respectively. The result of subtracting the area of the first original fingerprint image and the area of the second original fingerprint image as the area of the blank area; detecting the edge curvature of the blank area may specifically: detecting the first original fingerprint image and the The degree of curvature of the edge texture of the second original fingerprint image is used, and the degree of curvature of the detected two edge lines is taken as the edge curvature of the blank area.

Step S104, determining whether the extracted fingerprint feature information matches the pre-stored fingerprint feature information, and outputting the determination result.

At least one fingerprint feature information of the at least one verification fingerprint image may be stored in the fingerprint database. The fingerprint feature information of the at least one verification fingerprint image may be referred to the steps S101 to S103, and details are not described herein again. The fingerprint feature information of the verification fingerprint image is stored in the fingerprint database. When the fingerprint feature information of the verification fingerprint image is extracted, it may be determined whether the extracted fingerprint verification information matches the pre-stored fingerprint feature information, and outputting a judgment. the result of.

In an optional implementation manner, if the extracted fingerprint feature information includes a fingerprint pattern and a fingerprint shape, the fingerprint shape and the fingerprint pattern in the fingerprint database may be firstly matched by the rough fingerprint, if the fingerprint database exists And determining, by the target fingerprint image that the similarity of the extracted fingerprint pattern reaches the first preset threshold, whether the fingerprint shape of the target fingerprint image and the extracted fingerprint shape similarity reach a second preset threshold, and if the determination result is Yes, the output matches the result of the pass; otherwise, the output matches the result of the failure.

In another optional implementation manner, if the extracted fingerprint feature information includes a fingerprint pattern and a fingerprint feature point parameter, the rough fingerprint matching may be first performed by extracting the fingerprint pattern and the fingerprint pattern in the fingerprint database. If the result of the determination is that the fingerprint image has a target fingerprint image whose similarity with the extracted fingerprint pattern reaches the first preset threshold, further determining the fingerprint feature point parameter of the target fingerprint image and the extracted fingerprint feature point parameter Whether the similarity reaches the third preset threshold, and if the judgment result is yes, then The output matches the result of the pass; otherwise, the output matches the result of the failure.

In still another optional implementation manner, if the extracted fingerprint feature information includes area feature information and edge curvature feature information of the blank area of the fingerprint image, the area feature information of the blank area may be determined in the fingerprint database. Determining the target fingerprint image of the difference between the area feature information of the fingerprint blank area within a fourth preset threshold, and if the determination result is yes, further determining the curvature characteristic information of the blank area of the target fingerprint image and the extracted Whether the similarity of the curvature characteristic information of the blank area of the verification fingerprint image reaches the fifth preset threshold value, and if the determination result is yes, the result of the matching pass is output; otherwise, the result of the matching failure is output.

The first preset threshold, the second preset threshold, the third preset threshold, the fourth preset threshold, and the fifth preset threshold may be adjusted according to actual conditions, which is not limited by the present invention.

It should be noted that the above-described embodiments are illustrative of several embodiments of the present invention, and the description thereof is more specific and detailed, but is not to be construed as limiting the scope of the invention. It should be noted that a number of variations and modifications may be made by those skilled in the art without departing from the spirit and scope of the invention.

In the embodiment shown in FIG. 1, the fingerprint of at least two finger designated areas is acquired to obtain an original fingerprint image of each of the fingers, and the collected original fingerprint images are combined to obtain a verification fingerprint image, Then, the matching fingerprint image is matched and judged. When the original fingerprint image is collected, only part of the fingerprint of each finger is collected, and the leakage of the complete fingerprint information is prevented from the source of the fingerprint collection.

Please refer to FIG. 6. FIG. 6 is a schematic flowchart diagram of another fingerprint verification method according to an embodiment of the present invention. As shown in FIG. 6, the method for fingerprint verification may include:

Step S601, using a fingerprint recognition sensor to acquire a fingerprint of a left area of the first finger to obtain a first original fingerprint image, and collecting a fingerprint of a right area of the second finger to obtain a second original fingerprint image.

Step S602, combining the first original fingerprint image and the second original fingerprint image according to a preset combination manner to obtain the verification fingerprint image.

Step S603, detecting an area and an edge curvature of a blank area between the first original fingerprint image and the second original fingerprint image in the verification fingerprint image, and using the detection result as fingerprint feature information.

Further, the fingerprint shape, the fingerprint shape and the fingerprint of the verification fingerprint image may also be extracted. Taking at least one of the parameter parameters, taking the fingerprint pattern and the fingerprint shape as an example, the extracted fingerprint pattern, the fingerprint shape and the detection result are used as the fingerprint feature information.

Step S604, determining whether the extracted fingerprint feature information matches the pre-stored fingerprint feature information, and outputting the determination result.

Specifically, when it is detected that there is a blank area between the fingerprint image on the left side and the fingerprint image on the right side of the verification fingerprint image, the area and edge curvature of the blank area are further detected, and the extracted fingerprint feature information is determined. Whether the pre-stored fingerprint feature information matches and outputs the result of the judgment.

Further, determining whether there is a target fingerprint image in which the difference between the area feature information of the blank area and the area feature information of the blank area of the verification fingerprint image is within a fourth preset threshold value, if the determination result is yes And determining whether the curvature characteristic information of the blank area of the target fingerprint image and the curvature characteristic information of the blank area of the verification fingerprint image reach a fifth preset threshold. If the determination result is yes, the output matching is passed. The result; otherwise, the output matches the result of the failure.

Further, if the fingerprint feature information further includes at least one of a fingerprint pattern, a fingerprint shape, and a fingerprint feature point parameter, taking the fingerprint pattern and the fingerprint shape as an example, the fingerprint pattern of the fingerprint image may be further verified. Verification and matching with the fingerprint shape. If the fingerprint pattern and fingerprint shape verification of the fingerprint image are verified, the result of the matching is output.

In the embodiment shown in FIG. 6, the fingerprint of the left region of the first finger is acquired by the fingerprint recognition sensor to obtain a first original fingerprint image, and the fingerprint of the right region of the second finger is acquired to obtain a second original fingerprint image. And combining the first original fingerprint image and the second original fingerprint image according to a preset combination manner to obtain a verification fingerprint image, and when collecting the original fingerprint image, collecting only part of the fingerprint of each of the fingers, and collecting the fingerprint from the fingerprint The source of the fingerprint is prevented from leaking.

Referring to FIG. 7, FIG. 7 is a fingerprint verification apparatus according to an embodiment of the present invention. As shown in FIG. 7, the fingerprint verification apparatus 7 may include at least a fingerprint collection module 71, a fingerprint image processing module 72, and a feature information extraction module. 73. A determination module 74 and an output module 75, wherein:

The fingerprint collection module 71 is configured to collect fingerprints of at least two finger designated areas to obtain an original fingerprint image of each of the fingers;

Specifically, the fingerprint collection module 71 can be specifically configured to:

Simultaneously or sequentially acquiring fingerprints of the at least two finger designated areas to obtain each of the fingers Original fingerprint image.

The fingerprint image processing module 72 is configured to combine the collected original fingerprint images to obtain a verification fingerprint image;

In an optional implementation manner, the fingerprint collection module 71 is specifically configured to:

The fingerprint image processing module 72 is specifically configured to:

The feature information extraction module 73 is configured to extract fingerprint feature information of the verification fingerprint image;

The fingerprint feature information may include at least one of a fingerprint pattern, a fingerprint shape, and a fingerprint feature point parameter.

Further, if the verification fingerprint image extracted by the fingerprint image processing module 72 is as shown in FIG. 2 to FIG. 5, the feature information extraction module 73 may be specifically configured to:

The determining module 74 is configured to determine whether the fingerprint feature information of the verification fingerprint image matches the pre-stored fingerprint feature information;

The output module 75 is configured to output a determination result.

It is to be understood that the functions of the functional modules of the fingerprint verification device 7 of the present embodiment may be specifically implemented according to the method in the foregoing method embodiment, and may specifically correspond to the related description of the method embodiment of FIG. 1 or FIG. Let me repeat.

It should be noted that, in the above embodiments, the descriptions of the various embodiments are different, and the parts that are not described in detail in a certain embodiment may be referred to the related descriptions of other embodiments. In addition, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of the present invention.

The steps in the method of the embodiment of the present invention may be sequentially adjusted, merged, and deleted according to actual needs.

The modules in the apparatus of the embodiment of the present invention may be combined, divided, and deleted according to actual needs.

The module in the embodiment of the present invention may be implemented by a general-purpose integrated circuit, such as a CPU (Central Processing Unit) or an ASIC (Application Specific Integrated Circuit).

One of ordinary skill in the art can understand that all or part of the process of implementing the foregoing embodiments can be completed by a computer program to instruct related hardware, and the program can be stored in a computer readable storage medium. When executed, the flow of an embodiment of the methods as described above may be included. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

The above is only the preferred embodiment of the present invention, and the scope of the present invention is not limited thereto, and thus equivalent changes made in the claims of the present invention are still within the scope of the present invention.

Claims

A fingerprint verification method, comprising:

Collecting fingerprints of at least two finger designated areas to obtain an original fingerprint image of each of the fingers;

Combining the collected original fingerprint images to obtain a verification fingerprint image;

Extracting fingerprint feature information of the verification fingerprint image;

Determining whether the extracted fingerprint feature information matches the pre-stored fingerprint feature information, and outputting the determination result.
The method of claim 1 wherein said acquiring fingerprints of at least two finger-specified regions to obtain an original fingerprint image of each of said fingers comprises:

The fingerprints of the at least two finger designated areas are acquired simultaneously or sequentially to obtain an original fingerprint image of each of the fingers.
The method of claim 1 wherein said acquiring fingerprints of at least two finger-specified regions to obtain an original fingerprint image of each of said fingers comprises:

Collecting a fingerprint of a left side area, a right side area, an upper side area, or a lower side area of the first finger to obtain a first original fingerprint image;

Collecting a fingerprint of a left side area, a right side area, an upper side area or a lower side area of the second finger to obtain a second original fingerprint image;

Combining the collected original fingerprint images to obtain a verification fingerprint image includes:

The first original fingerprint image and the second original fingerprint image are combined according to a preset combination manner to obtain the verification fingerprint image.
The method of claim 3 wherein:

The extracting the fingerprint feature information of the verification fingerprint image includes:

Detecting an area and/or an edge curvature of a blank area between the first original fingerprint image and the second original fingerprint image in the verification fingerprint image, and using the detection result as the fingerprint feature information.
The method according to any one of claims 1 to 4, wherein the fingerprint characteristic information At least one of a fingerprint pattern, a fingerprint pattern, and a fingerprint feature point parameter is included.
A fingerprint verification device, comprising:

a fingerprint collection module, configured to collect fingerprints of at least two finger designated areas to obtain an original fingerprint image of each of the fingers;

a fingerprint image processing module, configured to combine the collected original fingerprint images to obtain a verification fingerprint image;

a feature information extraction module, configured to extract fingerprint feature information of the verification fingerprint image;

a determining module, configured to determine whether the extracted fingerprint feature information matches the pre-stored fingerprint feature information;

An output module for outputting a judgment result.
The device of claim 6, wherein the fingerprint collection module is specifically configured to:

The fingerprints of the at least two finger designated areas are acquired simultaneously or sequentially to obtain an original fingerprint image of each of the fingers.
The device of claim 6 wherein:

The fingerprint collection module is specifically configured to:

Collecting a fingerprint of a left side area, a right side area, an upper side area, or a lower side area of the first finger to obtain a first original fingerprint image;

Collecting a fingerprint of a left side area, a right side area, an upper side area or a lower side area of the second finger to obtain a second original fingerprint image;

The fingerprint image processing module is specifically configured to:

The first original fingerprint image and the second original fingerprint image are combined according to a preset combination manner to obtain the verification fingerprint image.
The device of claim 8 wherein:

The feature information extraction module is specifically configured to:

Detecting an area and/or an edge curvature of a blank area between the first original fingerprint image and the second original fingerprint image in the verification fingerprint image, and using the detection result as the fingerprint feature information.
The apparatus according to any one of claims 6 to 9, wherein the fingerprint characteristic information comprises at least one of a fingerprint pattern, a fingerprint pattern, and a fingerprint feature point parameter.