WO2018133584A1

WO2018133584A1 - Identity authentication method and device

Info

Publication number: WO2018133584A1
Application number: PCT/CN2017/115684
Authority: WO
Inventors: 徐强华
Original assignee: 中兴通讯股份有限公司
Priority date: 2017-01-17
Filing date: 2017-12-12
Publication date: 2018-07-26
Also published as: CN108319830A

Abstract

Provided are an identity authentication method and device. The method is applied to a terminal device, and comprises: obtaining, when it is detected that both eyes of a user to be authenticated move along a first preset direction in a first scan box on a display interface of a terminal device, eyeprint authentication data and living body authentication data of the user to be authenticated, the eyeprint authentication data comprising a first eyeball texture data set obtained on a first position in the first scan box and a second eyeball texture data set obtained on at least one second position in the first scan box; and authenticating the identity of the user to be authenticated according to the eyeprint authentication data and the living body authentication data.

Description

Identity verification method and device

Technical field

The present disclosure relates to the field of communications technologies, and in particular, to an identity verification method and apparatus.

Background technique

With the development of communication technology, the way of identity verification through electronic devices has gradually emerged, such as mobile payment services; there are various ways to perform authentication through electronic devices, such as digital passwords, graphic passwords, fingerprint passwords, face recognition, Eyeball texture recognition, etc.; eyeball texture recognition as a new technology began to slowly spread.

The eyeball texture recognition mainly extracts and recognizes the information of the white part of the eye. Here, the blood vessel part of the white part of the eye is extracted, that is, the blood vessel of the white part of the eye, and the shape of the blood vessel on each person's eyeball is unique, even the twins are not. In the same way, eyeball texture recognition is the uniqueness of the distribution of blood vessel texture on the white of the eye. Although the eyeball may be congested due to allergies, red eyes or hangovers, it does not affect the arrangement of blood vessels on the white of the eye, so the stability of the eyeball texture recognition is sufficient. However, eyeball texture recognition and fingerprint recognition are similar, and there are cases of misrecognition. For example, in the case of eyeball texture recognition, high-definition eye photos may be mixed, and once misunderstood, it may cause loss to the user's property.

Summary of the invention

The following is an overview of the topics detailed in this document. This Summary is not intended to limit the scope of the claims.

For the case where the eyeball texture recognition may be misidentified, the present disclosure provides an identity verification method and apparatus.

An embodiment of the present disclosure provides an identity verification method, which is applied to a terminal device, and the method includes:

When it is detected that the eyes of the user to be verified move in the first preset direction on the display interface of the terminal device, the eyeprint verification data and the living body verification data of the user to be verified are acquired, and the eye pattern is obtained. The verification data includes: a first eyeball texture data set acquired at a first location within the first scan frame and a second eyeball texture dataset acquired at at least one second location within the first scan frame; The data includes a first eye feature data set acquired at the first location and a second eye feature data set of the user to be verified acquired at the at least one second location;

The authenticated user is authenticated based on the eyeprint verification data and the live authentication data.

In an exemplary embodiment, the step of authenticating the user according to the eyeprint verification data and the living body verification data includes:

Obtaining pre-stored eye pattern data according to the eye pattern verification data and the living body verification data, when determining that the eye pattern verification data is the living eye pattern data;

When it is determined that the eye pattern verification data and the eye pattern data match successfully, the authentication is passed.

In an exemplary embodiment, the step of determining the eyeprint verification data as the living eyeprint data according to the eyeprint verification data and the living body verification data comprises:

When the first eye texture data set and the second eye texture data set are not equal and the intersection is a non-empty set, and the first eye feature data set and the second eye feature data set are determined to be the living eye feature data, the eye is determined The pattern verification data is living eye pattern data.

In an exemplary embodiment, the step of obtaining eye print verification data and living body verification data of the user to be verified includes:

Displaying, in the first scan frame, the first living body detecting ball moving in the first preset direction, and prompting the user to be verified that both eyes are gazing at the first living body detecting ball;

In the process of detecting the movement of the first living body ball, taking a picture for both eyes of the user to be verified;

Obtain eyeprint verification data and living body verification data of the user to be verified according to the photograph taken.

In an exemplary embodiment, the step of determining that the eyeprint verification data matches the eye patch template data successfully comprises:

Calculating the similarity between the eye pattern data and the eye pattern verification data according to a preset similarity algorithm;

When the similarity is greater than or equal to the preset similarity threshold, it is determined that the eyeprint verification data is successfully matched with the eye patch template data.

In an exemplary embodiment, the method further includes:

The eye user template data of the first user is entered.

In an exemplary embodiment, the step of entering the eye pattern data of the first user includes:

When the first user's eyes are moved in the second predetermined frame on the display interface of the terminal device, the eyeprint entry data and the living body entry data of the first user are acquired; the eyeprint entry data includes: a third eyeball texture data set acquired at a third position in the scan frame and a fourth eyeball texture data set acquired at at least one fourth position in the second scan frame; the living body entry data is included in the third position And the acquired third eye feature data set and the fourth eye feature data set of the user to be verified acquired at the at least one fourth location;

According to the eye pattern entry data and the living body entry data, when the eye pattern entry data is determined to be the living eye pattern data, the eye pattern entry data is stored as the eye pattern template data of the first user.

In an exemplary embodiment, the step of determining the eye pattern entry data as the living eye pattern data according to the eye pattern entry data and the living body entry data includes:

When the third eye texture data set and the fourth eye texture data set are not equal and the intersection is a non-empty set, and the third eye feature data set and the fourth eye feature data set are determined as living eye feature data, the eye is determined The input data is the living eye pattern data.

In an exemplary embodiment, the step of acquiring the eyeprint entry data and the living body entry data of the first user includes:

Displaying, in the second scan frame, the second living body detecting ball moving in the second preset direction, and prompting the first user to gaze at the second living body detecting ball;

During the second living body detecting the movement of the ball, taking a picture for the first user's eyes;

According to the photograph taken, the eyeprint entry data and the living body entry data of the first user are acquired.

In order to achieve the above object, an embodiment of the present disclosure further provides an identity verification apparatus, which is applied to a terminal device, including:

The detecting module is configured to: when detecting that the eyes of the user to be verified move in the first preset direction on the display interface of the terminal device, obtain the eyeprint verification data and the living body verification data of the user to be verified, and verify the eye pattern The data includes: a first eyeball texture data set acquired at a first location within the first scan frame and a second eyeball texture dataset acquired at at least one second location within the first scan frame; biometric verification data And including a first eye feature data set acquired at the first location and a second eye feature data set of the user to be verified acquired at the at least one second location;

The verification module is configured to authenticate the user to be verified according to the eyeprint verification data and the living body verification data.

In an exemplary embodiment, the verification module includes:

Obtaining a sub-module configured to obtain pre-stored eye pattern data according to the eye pattern verification data and the living body verification data, and determining that the eye pattern verification data is the living eye pattern data;

The verification submodule is configured to pass the authentication when it is determined that the eyeprint verification data and the eye pattern data match are successful.

In an exemplary embodiment, the acquisition submodule is configured to:

In an exemplary embodiment, the detecting module includes:

The first display sub-module is configured to display the first living body detection ball moving in the first preset direction in the first scan frame, and prompting the user to be verified that the two eyes are gazing at the first living body detection ball;

a first shooting sub-module configured to take a photo for the eyes of the user to be verified during the movement of the first living body detecting ball;

The first obtaining submodule is configured to obtain eyeprint verification data and living body verification data of the user to be verified according to the photograph taken.

In an exemplary embodiment, the verification sub-module includes:

a calculating unit configured to calculate a similarity between the eye pattern data and the eyeprint verification data according to a preset similarity algorithm;

The matching unit is configured to determine that the eyeprint verification data and the eye pattern data match are successfully matched when the similarity is greater than or equal to the preset similarity threshold.

In an exemplary embodiment, the apparatus further includes:

The template entry module is configured to input the eye user template data of the first user.

In an exemplary embodiment, the template entry module includes:

The input detection sub-module is configured to: when the first user's eyes move in the second preset direction on the display interface of the terminal device, obtain the first user's eyeprint input data and the living body input data; The entry data includes: a third eye texture data set acquired at a third position in the second scan frame and a fourth eye texture data set acquired at at least one fourth position in the second scan frame; The data includes third eye feature data acquired at the third location And a fourth eye feature data set of the user to be verified acquired at the at least one fourth location;

The template storage sub-module is configured to, according to the eye pattern entry data and the living body input data, determine that the eye pattern entry data is the living eye pattern data, and store the eye pattern entry data as the first user's eye pattern template data.

In an exemplary embodiment, the template storage submodule is configured to:

In an exemplary embodiment, the entry detection sub-module includes:

The second display sub-module is configured to display the second living body detection ball moving in the second preset direction in the second scan frame, and prompt the first user to both eyes on the second living body detection ball;

a second shooting sub-module configured to take a photo for the first user's eyes during the second living body detecting ball movement;

The second obtaining submodule is configured to acquire the eyeprint entry data and the living body entry data of the first user according to the photograph taken.

Embodiments of the present disclosure also provide a computer readable storage medium storing computer executable instructions that, when executed by a processor, implement the methods described above.

The above aspects of the present disclosure include at least the following beneficial effects:

The identity verification method and device provided by the present disclosure, in the process of authenticating the user, obtains the eyeprint verification data and the living body verification data of the user to be verified, and performs living body detection while detecting the eyeball texture to ensure the collected data. For living data, avoid false verification through high-definition eyeball images during the authentication process to improve the security of authentication; especially in the payment process of electronic devices, it can effectively protect the user's property security; In the process of template data entry, a live detection link is also added to ensure the effectiveness of eye pattern entry. The present disclosure solves the problem that eye texture recognition may be misidentified.

Other aspects will be apparent upon reading and understanding the drawings and detailed description.

DRAWINGS

1 is a flow chart showing the basic steps of an identity verification method provided by a first example of the present disclosure;

2 is a schematic diagram showing a scene of an eyeprint data entry process provided by a second example of the present disclosure;

3 is a flow chart showing the basic steps of the eyeprint data entry process provided by the second example of the present disclosure;

4 is a second schematic diagram of a scene of an eyeprint data entry process provided by a second example of the present disclosure;

FIG. 5 is a schematic diagram showing a scenario of an eyeprint data verification process provided by a second example of the present disclosure; FIG.

6 is a flow chart showing the basic steps of the eyeprint data verification process provided by the second example of the present disclosure;

FIG. 7 shows a block diagram of an identity verification apparatus provided by a third example of the present disclosure.

detailed description

The detailed description will be made below in conjunction with the accompanying drawings and specific examples.

First example

Referring to FIG. 1, a first example of the present disclosure provides an identity verification method, which is applied to a terminal device, including:

Step 101: When it is detected that the eyes of the user to be verified move in the first preset direction on the display interface of the terminal device, obtain the eyeprint verification data and the living body verification data of the user to be verified, and the eyeprint verification data includes : a first eyeball texture data set acquired at a first position within the first scan frame and a second eyeball texture data set acquired at at least one second location within the first scan frame; the biometric verification data is included in a first eye feature data set acquired at the first location and a second eye feature data set of the user to be verified acquired at the at least one second location.

The authentication user is authenticated, and the user's eyes are placed in the first scan frame and moved along the first preset direction. During the movement, the first eye texture data set and the first eye at the first position are acquired. a feature data set, and a second eye texture data set and a second eye feature data set at the second position; the eyeball texture data set is a set of eye texture data of the user to be verified, and the eyeball texture data is detected by the eyeball texture Out of the data, eye texture detection (eyeball texture recognition) The principle is to read the distribution pattern of the blood vessel texture on the white of the eye of the user photographed by the front camera of the electronic device, thereby achieving the function of identification. The eye feature data set is a set of eye feature data of the user to be verified; in the present example, the eye feature data may include: human eye feature parameters such as eyelid length and width, eye corner, pupil, and the like.

Among them, the living body verification data is data generated by the living body in an active state.

Step 102: Perform identity verification on the user to be authenticated according to the eyeprint verification data and the living body verification data.

In this example, step 102 can include:

The second eye feature data set in the living body verification data is compared with the first eye feature data set, and the collected first eye feature data set is verified as living data to avoid falsehood through the high-definition eye image. The effect of the verification; verifying the data collected at the first location and the data collected at the second location by the first eye texture data set and the second eye texture data set in the eyeprint verification data as data of the same user, and further The eyeprint verification data is determined to be the living eyeprint data and is the data of the same user, and the validity of the obtained eyeprint verification data of the user to be verified is ensured.

When it is determined that the acquired eye pattern verification data is the living eye pattern data of the same user, the pre-stored eye pattern data is matched with the eye pattern verification data of the user to be verified, and after the matching is successful, the identity verification of the user to be authenticated is determined to pass. Otherwise, the authentication of the user to be authenticated does not pass.

In this example, the step of obtaining the pre-stored eye pattern data when the eye pattern verification data is the living eye pattern data according to the eye pattern verification data and the living body verification data may include:

The first eye texture data set and the second eye texture data set are not equal and the intersection is a non-empty set, that is, the first eye texture data set and the second eye texture data set have several identical elements, but cannot be congruent. If congruent, the first eye texture data set and the second eye texture data set are from the same static picture.

For example, the first eye feature data set and the second eye feature data set may be determined by the eyeball tracking technique as the living eye feature data. Eye tracking technology is mainly to track the movement information of the eyeball; when the human eye looks in different directions, the eye will have subtle changes, these changes will produce extractable features, extract these features through image capture or scanning, and then track in real time. a change in the eye; when the second eye feature data set is determined by the eyeball tracking technique to generate data after the motion for the first eye feature data set, that is, the user's eyeball generates a rotation at the first position, and is determined in the first position and The data collected at the second position is living body data, that is, the eye pattern verification data is living eye pattern data.

In this example, step 101 can include:

The first living body detecting ball moves in the first preset direction in the first scanning frame, and in the process of moving, photographs the eyes of the user to be verified in different positions; and during the moving process, the eyes of the user to be verified are reminded to both eyes. The first living body detects the ball, ensuring that the eyes of the user to be verified fall within the first scan frame. The data corresponding to the first location and the data corresponding to the second location are extracted according to the photograph taken.

In this example, in step 102, determining that the eyeprint verification data matches the eyeprint template data successfully may include:

For example, the similarity degree between the eye pattern data and the eye pattern verification data is calculated by a preset similarity algorithm, and the higher the similarity, the closer the data is; when the similarity is greater than the preset similarity threshold, the determination is performed. The match was successful; otherwise, the match was unsuccessful.

In this example, the method can also include:

The eye user template data of the first user is entered.

The eye user template data of the first user is entered for comparison with the data to be verified.

The steps of entering the first user's eye pattern template data include:

In the first step, detecting that the first user's eyes are on the inner edge of the second scan frame on the display interface of the terminal device Obtaining the eyeprint entry data and the living body entry data of the first user when the second preset direction is moved; the eyeprint entry data includes: the third eyeball texture data set acquired at the third position in the second scan frame and a fourth eye texture data set acquired at at least one fourth position in the second scan frame; the living body entry data includes a third eye feature data set acquired at the third position and at the at least one fourth position The acquired fourth eye feature data set of the user to be verified.

In the second step, according to the eye pattern entry data and the living body entry data, when the eye pattern entry data is determined to be the living eye pattern data, the eye pattern entry data is stored as the eye pattern template data of the first user.

For example, the process of inputting the eye patch template data includes: acquiring data of the third location and the data of the fourth location in the second scan frame during the process of moving the first user's eyes in the second predetermined direction in the second scan frame. . By comparing the third eye feature data set in the living body entry data with the fourth eye feature data set, ensuring that the entered third eye feature data set is living data; entering the data through the eye pattern The third eyeball texture data set and the fourth eyeball texture data set are recorded in the third position and the data collected in the fourth position is data of the same user, thereby determining that the eye pattern input data is the living eye pattern data and For the data of the same user, the validity of the acquired eyeprint data of the first user is guaranteed.

In this example, the second step above may include:

The third eye texture data set and the fourth eye texture data set are not equal and the intersection is a non-empty set, that is, the third eye texture data set and the fourth eye texture data set have several identical elements, but cannot be equal. If congruent, it indicates that the third eye texture data set and the fourth eye texture data set are from the same static picture.

In this example, the first step above may include:

Wherein, the second living body detecting ball moves in the second predetermined direction in the second scanning frame, and moves over The first user's eyes are photographed at different positions during the movement; and during the movement, the user to be authenticated is reminded that the two eyes are gazing at the second living body detecting ball to ensure that the first user's eyes fall within the second scanning frame. The data corresponding to the third position and the data corresponding to the fourth position are extracted according to the photograph taken.

In the above example of the present disclosure, in the process of authenticating the user, by acquiring the eyeprint verification data and the living body verification data of the user to be verified, the living body detection is performed at the same time as the eyeball texture detection, and the collected data is ensured to be living data. In the process of identity verification, false verification is implemented through high-definition eyeball images to improve the security of identity verification; in particular, in the payment process of electronic devices, user property security can be effectively protected; and eye pattern template data entry In the process, the living body detection link has also been added to ensure the effectiveness of eye pattern entry. The present disclosure solves the problem that eye texture recognition may be misidentified.

Second example

Referring to Figures 2-6, the second example introduces the authentication method provided by the present disclosure.

First, the eye pattern data entry process:

Referring to Figures 2 to 4, the eyeprint data entry process mainly includes the following steps:

Step 301, verifying whether the user's eyes fall within the second scan frame;

Make sure that the user's eyes and the terminal device maintain a proper distance. The user is guided by the second living body detecting ball at the terminal interface, and the eyes fall in the second scanning frame, which is the initial position of the eye pattern.

Step 302, extracting a third eyeball texture data set and a third eye feature data set of the user in the third location; extracting a fourth eyeball texture data set and a fourth eye feature dataset of the user in the fourth location;

For example, the camera scans both eyes, and the interface displays the scanning progress. After the scanning is completed, the terminal interface guides the two eyes to move, and in the process of moving the eyes, it needs to fall in the second scanning frame. The scanning process is a process of high-speed photographing. The camera takes a series of pictures of different eyes at different positions, and after algorithm processing, respectively obtains the third eyeball texture data set and the third eye feature data set of the initial position, that is, the third position, and obtains The fourth eyeball texture data and the fourth eye feature data set of the fourth position, if there are a plurality of fourth positions, obtain an eye pattern data set and a human eye feature set of other positions, and all the eye pattern characteristic data constitutes one A complete set of eye pattern data sets, defined as eye pattern entry data (eye pattern data).

The third eye texture data set and the fourth eyeball texture data are processed by an algorithm to infer the first There is a certain relationship between the three eyeball texture dataset and the fourth eyeball texture data, that is, there is an intersection and not all, otherwise it indicates that the eyeprints recorded in the third position and the fourth position are different human eye lines or static pictures.

For example, in the third position, the third eyeball texture data set f3 is acquired by scanning, image segmentation, feature extraction; in the fourth position, the human eye performs a downward line of sight to acquire the fourth eyeball texture data f4, if it is a living body Eye lines, f3 and f4 have the following relationship: f3≠f4, f3∩f4≠Ф, and f3∪f4 constitute a complete set of eye pattern data sets. If f3=f4, it means a static picture.

The third eye feature data set and the fourth eye feature data set are processed by an algorithm to infer that the third eye feature data set and the fourth eye feature data set have a certain relationship, thereby inferring the set of eye pattern characteristic data. The set is the eye pattern data of the living body. The eye feature data set includes human eye feature parameters such as eyelids, eye corners, pupils, etc. Using the eyeball tracking technique, the fourth position is estimated to be the rotation of the eyeball based on the third position, which indicates that the eye contour is living. If the human eye feature data of the third location and the fourth location are the same, the description is a static picture.

In step 303, the scanning is completed, and the eyeprint input data is saved.

Second, the eyeprint data verification process:

Referring to FIG. 5 and FIG. 6, the eyeprint data verification process mainly includes the following steps:

Step 601, verifying whether the user's eyes fall within the first scan frame;

To ensure that the user's eyes and the terminal device maintain a proper distance, the user is guided by the first living body detecting ball at the terminal interface, and the eyes fall within the first scanning frame.

Step 602: extract a first eye texture data set of the user and a first eye feature data set at the first location; and extract a second eye texture data set and a second eye feature data set of the user in the second location;

For example, the second living body detecting the cue ball guiding the two eyes to the second position, the camera scanning the two eyes, the interface displays the scanning progress, and the scanning is completed. The eyeprint feature data set obtained herein is defined as eyeprint verification data, and the process of acquiring eyeprint verification data is the same as step 302; and the eye feature data of the first location and the second location are also acquired, also according to the first location and The eye pattern characteristic data and the eye part characteristic data of the second position can estimate whether the eye pattern verification data is the eye pattern verification data of the living body.

In step 603, the scanning is completed, and the eyeprint verification data and the eyeprint data are entered into the data for similarity matching. If the similarity is within the preset similarity threshold, the verification is passed.

In this example, the similarity threshold can be set according to the security level, the security level is high, the similarity threshold can be set higher, the security level is lower, and the similarity threshold can be set lower.

Third example

Referring to FIG. 7, a third example of the present disclosure provides an identity verification apparatus, which is applied to a terminal device, and includes:

The detecting module 701 is configured to: when detecting that the eyes of the user to be verified move in the first preset direction on the display interface of the terminal device, obtain the eyeprint verification data and the living body verification data of the user to be verified, and the eye pattern The verification data includes: a first eyeball texture data set acquired at a first location within the first scan frame and a second eyeball texture dataset acquired at at least one second location within the first scan frame; The data includes a first eye feature data set acquired at the first location and a second eye feature data set of the user to be verified acquired at the at least one second location;

The verification module 702 is configured to perform authentication on the user to be verified according to the eyeprint verification data and the living body verification data.

In this example, the verification module 702 can include:

In this example, the get submodule can be configured to:

When the first eye texture data set and the second eye texture data set are not equal and the intersection is a non-empty set, and the first eye feature data set and the second eye feature data set are determined to be the living eye feature data, The eye pattern verification data is determined to be living eye pattern data.

In this example, the detection module 701 can include:

In this example, the verification sub-module can include:

In this example, the apparatus may further include:

In this example, the template entry module can include:

The input detection sub-module is configured to: when the first user's eyes move in the second preset direction on the display interface of the terminal device, obtain the first user's eyeprint input data and the living body input data; The entry data includes: a third eye texture data set acquired at a third position in the second scan frame and a fourth eye texture data set acquired at at least one fourth position in the second scan frame; The data includes a third eye feature data set acquired at the third location and a fourth eye feature data set of the user to be verified acquired at the at least one fourth location;

In this example, the template storage submodule can be configured to:

In this example, the entry detection sub-module can include:

The identity verification device provided by the embodiment of the present disclosure is a device applying the above method, that is, all the embodiments of the above method are applicable to the device, and both can achieve the same or similar beneficial effects.

Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and functional blocks/units of the methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be composed of several physical The components work together. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer readable medium, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As is well known to those of ordinary skill in the art, the term computer storage medium includes volatile and nonvolatile, implemented in any method or technology for storing information, such as computer readable instructions, data structures, program modules or other data. Sex, removable and non-removable media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridge, magnetic tape, magnetic disk storage or other magnetic storage device, or may Any other medium used to store the desired information and that can be accessed by the computer. Moreover, it is well known to those skilled in the art that communication media typically includes computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and can include any information delivery. Send the media.

The above is an exemplary embodiment of the present disclosure, and it should be noted that those skilled in the art can also make several improvements and refinements without departing from the principles of the present disclosure. It should also be considered as the scope of protection of the present disclosure.

Industrial applicability

According to the above embodiment of the present disclosure, in the process of authenticating the user, by acquiring the eyeprint verification data and the living body verification data of the user to be verified, the living body detection is performed while the eyeball texture is detected, and the collected data is ensured to be a living body. Data, to avoid false verification through high-definition eyeball images in the process of identity verification, to improve the security of identity verification; especially in the payment process of electronic devices, can effectively protect the user's property security; and eye pattern template data In the process of entry, a live test is also added to ensure the effectiveness of eye pattern entry. The present disclosure solves the problem that eye texture recognition may be misidentified. The present disclosure therefore has industrial applicability.

Claims

An authentication method applied to a terminal device, including:

Obtaining the eyeprint verification data and the living body verification data of the user to be verified when the eyes of the user to be verified move in the first preset direction on the display interface of the terminal device, the eye pattern The verification data includes: a first eyeball texture data set acquired at a first location within the first scan frame and second eyeball texture data acquired at at least one second location within the first scan frame The living body verification data includes a first eye feature data set acquired at the first location and second eye feature data of the user to be verified acquired at at least one of the second locations set;

And authenticating the user to be verified according to the eyeprint verification data and the living body verification data.
The method according to claim 1, wherein the step of authenticating the user to be authenticated according to the eyeprint verification data and the living body verification data comprises:

Obtaining pre-stored eye patch template data when determining the eye patch verification data as living eye pattern data according to the eye patch verification data and the living body verification data;

When it is determined that the eye patch verification data and the eye patch template data match successfully, the identity verification is passed.
The method according to claim 2, wherein the step of determining the eyeprint verification data as living eyeprint data according to the eyeprint verification data and the living body verification data comprises:

When the first eye texture data set and the second eye texture data set are not equal and the intersection is a non-empty set, and the first eye feature data set and the second eye feature data set are determined to be a living body When the eye feature data is obtained, the eye patch verification data is determined to be living eye pattern data.
The method according to claim 1, wherein the step of acquiring the eyeprint verification data and the living body verification data of the user to be verified comprises:

Displaying, in the first scan frame, the first living body detection ball moving in the first preset direction, and prompting the user to be verified to both eyes gaze at the first living body detection ball;

During the movement of the first living body detecting ball, taking a picture for the eyes of the user to be verified;

Obtaining the eyeprint verification data and the living body verification data of the user to be verified according to the photograph taken.
The method according to claim 2, wherein the step of determining that the eyeprint verification data matches the eye patch template data successfully comprises:

Calculating a similarity between the eye patch template data and the eyeprint verification data according to a preset similarity algorithm;

When the similarity is greater than or equal to a preset similarity threshold, determining that the eyeprint verification data matches the eye patch template data is successful.
The method of claim 1 wherein the method further comprises:

The eye user template data of the first user is entered.
The method of claim 6, wherein the step of entering the eye pattern data of the first user comprises:

Obtaining, when the first user's eyes move in the second preset direction in the second scan frame on the display interface of the terminal device, acquiring the eyeprint entry data and the living body entry data of the first user; The entry data includes: a third eye texture data set acquired at a third position within the second scan frame and a fourth eye texture acquired at at least one fourth position within the second scan frame a data set; the living body entry data includes a third eye feature data set acquired at the third location and a fourth eye feature data set of the user to be verified acquired at the at least one fourth location ;

And determining, according to the eye pattern entry data and the living body entry data, that the eye pattern entry data is the living eye pattern data, and storing the eye pattern entry data as the eye pattern data of the first user.
The method according to claim 7, wherein the step of determining the eye pattern entry data as living eye pattern data according to the eye pattern entry data and the living body entry data comprises:

When the third eye texture data set and the fourth eye texture data set are not equal and the intersection is a non-empty set, and the third eye feature data set and the fourth eye feature data set are determined to be a living body When the eye feature data is used, it is determined that the eye pattern entry data is living eye pattern data.
The method according to claim 7, wherein the step of acquiring the eyeprint entry data and the living body entry data of the first user comprises:

Displaying, in the second scan frame, a second living body detecting ball moving in the second preset direction, and prompting the first user to gaze at the second living body detecting ball;

Taking photos of the first user's eyes in the process of detecting the movement of the second living body;

The eyeprint entry data and the living body entry data of the first user are acquired according to the photograph taken.
An identity verification device is applied to a terminal device, including:

The detecting module (701) is configured to: when detecting that the eyes of the user to be verified move in the first preset direction on the display interface of the terminal device, obtain the eyeprint verification data of the user to be verified and In vivo verification data, the eyeprint verification data includes: a first eye texture data set acquired at a first location within the first scan frame and at least one second location within the first scan frame The acquired second eye texture data set; the living body verification data includes a first eye feature data set acquired at the first location and the to-be-verified acquired at at least one of the second locations a second eye feature data set of the user;

The verification module (702) is configured to perform identity verification on the user to be verified according to the eyeprint verification data and the living body verification data.
The apparatus of claim 10 wherein said verification module (702) comprises:

Obtaining a sub-module configured to acquire pre-stored eye pattern data according to the eye pattern verification data and the living body verification data, and determining that the eye pattern verification data is living eye pattern data;

And a verification submodule configured to pass the identity verification when it is determined that the eyeprint verification data and the eye patch template data are successfully matched.
The apparatus of claim 11 wherein said obtaining submodule is configured to:

When the first eye texture data set and the second eye texture data set are not equal and the intersection is a non-empty set, and according to determining that the first eye feature data set and the second eye feature data set are When the ocular feature data is in vivo, the eyeprint verification data is determined to be living eye pattern data.
The apparatus of claim 10 wherein said detecting module (701) comprises:

The first display sub-module is configured to display the first living body detecting ball moving in the first preset direction in the first scanning frame, and prompting the user to be verified to gaze at the first living body detecting ball;

a first shooting submodule configured to be in the process of detecting movement of the first living body ball The eyes of the user to be verified are taken by the eyes;

The first obtaining submodule is configured to acquire the eyeprint verification data and the living body verification data of the user to be verified according to the photograph taken.
The apparatus of claim 11 wherein said verification sub-module comprises:

a calculating unit, configured to calculate a similarity between the eye patch template data and the eyeprint verification data according to a preset similarity algorithm;

And the matching unit is configured to determine that the eyeprint verification data and the eye patch template data are successfully matched when the similarity is greater than or equal to a preset similarity threshold.
The device of claim 10, wherein the device further comprises:

The template entry module is configured to input the eye user template data of the first user.
The apparatus of claim 15, wherein the template entry module comprises:

The input detection sub-module is configured to acquire the eyeprint entry data of the first user when the first user's eyes move in the second preset direction in the second scan frame on the display interface of the terminal device Entering data in vivo; the eyeprint entry data includes: a third eye texture data set acquired at a third position within the second scan frame and at least a fourth position in the second scan frame The acquired fourth eyeball texture data set; the living body entry data includes a third eye feature data set acquired at the third location and the user to be verified acquired at the at least one fourth location Fourth eye feature data set;

a template storage sub-module configured to store the eyeprint entry data as the first user when the eyeprint entry data is the living eyeprint data according to the eyeprint entry data and the living body entry data Eye pattern template data.
The apparatus of claim 16, wherein the template storage submodule is configured to:

When the third eye texture data set and the fourth eye texture data set are not equal and the intersection is a non-empty set, and the third eye feature data set and the fourth eye feature data set are determined to be a living body When the eye feature data is used, it is determined that the eye pattern entry data is living eye pattern data.
The apparatus of claim 16, wherein the entry detection sub-module comprises:

a second display sub-module configured to display a second living body detection ball moving in the second preset direction in the second scan frame, and prompting the first user to gaze at the second living body detection ball;

a second shooting sub-module configured to take a photo for the first user's eyes during the second living body detecting ball movement;

The second obtaining submodule is configured to acquire the eyeprint entry data and the living body entry data of the first user according to the photograph taken.