TWI777148B - Identity verification method, computer device, and readable storage medium - Google Patents

Abstract

The present invention provides an identity verification method, which includes: periodically collecting biometric data of a user; when a difference between currently collected biometric data and pre-stored biometric data is greater than a preset threshold, the pre-stored biometric data is updated to be the currently collected biometric data, and the currently collected biometrics data is uploaded to a blockchain together with identification data of the user; and when it is necessary to perform identity verification on the user, downloading the user's identification data from the blockchain based on the user's current biometric data, such that the user does not need to keep their own identification data in mind at all times. The present invention also provides a computer device and a readable storage medium for implementing the identity verification method.

Description

Authentication method, computer device, and readable storage medium

The present invention relates to the technical field of identity authentication, and in particular, to an identity authentication method, a computer device and a readable storage medium.

Authentication is a necessary feature in many areas. However, when a person loses his memory due to some reasons such as accident or dementia, he may not be able to remember his identity verification information such as ID number, account password and other information. Therefore, it is necessary to improve the current authentication methods.

In view of the above, it is necessary to propose an identity verification method, a computer device and a readable storage medium, which can obtain the identity identification data for performing identity verification based on the biometric data of the user, so as to solve the above-mentioned technical problems existing in the prior art. question.

A first aspect of the present invention provides an identity verification method, comprising: regularly collecting biometric data of a user; comparing the currently collected biometric data with pre-stored biometric data to determine the currently collected biometric data The difference between the biometric data and the pre-stored biometric data; when the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold, the pre-stored biometric data is updated to the current The collected biometric data, and upload the currently collected biometric data with the user's identification data to the blockchain; and when the user needs to be authenticated, collect the user's current biometric data, and download the user's biometric data from the blockchain based on the user's current biometric data. Identification data to perform authentication using the downloaded identification data.

Preferably, the biometric data includes one or a combination of fingerprints, voiceprints, faces, irises, heartbeats, and veins.

Preferably, the method utilizes the wearable device to periodically collect the biometric data of the user.

Preferably, the method further includes: when the difference between the currently collected biometric data and the pre-stored biometric data is greater than the preset threshold, issuing a warning; and closing the system in response to the user's operation the warning.

Preferably, the identity identification data includes: name and identity number, communication address, account number and password for logging in to a designated application.

Preferably, the method further includes: before uploading the currently collected biometric data with the user's identification data to the blockchain, using a preset encryption algorithm to encrypt the currently collected biometric data And the user's identification data is encrypted; and when the user's identification data is downloaded from the blockchain, the user's identification data is decrypted.

A second aspect of the present invention provides a computer device, the computer device includes a processor and a storage, the storage is configured to store at least one instruction, and the processor is configured to execute the at least one instruction to implement the identity verification method.

The third party aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores at least one instruction, and when the one instruction is executed by a processor, the identity verification method is implemented.

Compared with the prior art, the computer device and the identity verification method provided by the present invention periodically collect the biometric data of the user; Collected biometric data vs. pre-stored biometrics The difference between the data; when the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold, update the pre-stored biometric data to the currently collected biometric data , and upload the currently collected biometric data with the user's identification data to the blockchain; and when the user needs to be authenticated, collect the user's current biometric data, based on The user's current biometric data downloads the user's identification data from the blockchain, so as to use the downloaded identification data to perform identity verification, which can be obtained based on the user's biometric data for execution Identity verification information, users do not need to keep in mind their identity information at all times.

1: Computer device

2: Wearable Devices

30: Authentication System

301: Get Mods

302: Execute the module

31: Storage

32: Processor

33: Communication bus

34: Display screen

35: Communication module

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or in the prior art, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to the provided drawings without creative work.

FIG. 1 is an application environment architecture diagram of an identity verification method provided by a preferred embodiment of the present invention.

FIG. 2 is a flowchart of an identity verification method provided by a preferred embodiment of the present invention.

FIG. 3 is a functional module diagram of an identity verification system provided by a preferred embodiment of the present invention.

FIG. 4 is a structural diagram of a computer device according to a preferred embodiment of the present invention.

In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present invention and the features in the embodiments may be combined with each other under the condition of no conflict.

In the following description, many specific details are set forth in order to facilitate a full understanding of the present invention, and the described embodiments are only some, but not all, embodiments of the present invention. Based on the implementation in the present invention For example, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention.

Referring to FIG. 1 , it is an application environment architecture diagram of the authentication method provided by a preferred embodiment of the present invention.

The identity verification method of the present invention is applied in an environment composed of a computer device 1 and one or more wearable devices 2 .

In one embodiment, the computer device 1 can establish a communication connection with the wearable device 2 through a wired method (eg, USB (Universal Serial Bus)) or a wireless method (eg, Bluetooth, WIFI).

In this embodiment, the computer device 1 may be any device that needs to perform user authentication, such as a computer or other terminal device. In this embodiment, the need to perform user identity verification may refer to the need to perform user identity verification to log in to the computer device 1, the software installed in the computer device 1 to perform user identity verification, or to access data stored in the computer device 1. The specified data (eg, folder) of the computer device 1 needs to perform user authentication.

In this embodiment, the wearable device 2 can be used to collect biometric data of the user, such as fingerprints, voiceprints, faces, irises, heartbeats, veins, and the like. The wearable device 2 may be a microcomputer device that can be worn or adhered to the user, such as a smart bracelet, a patch-type sensing device that can be attached to the skin, a smart harness, a smart clothing, or the like.

Those skilled in the art should understand that the application environment is only an example, and should not be construed as a limitation of the present invention.

FIG. 2 is a flowchart of an identity verification method provided by a preferred embodiment of the present invention.

In this embodiment, the identity verification method can be applied to a computer device. For a computer device that needs to perform an identity verification function, the method of the present invention can be directly integrated on the computer device. The provided functions for authentication, or run on the computer device in the form of a software development kit (Software Development Kit, SDK).

As shown in FIG. 2 , the identity verification method specifically includes the following steps. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

Step S1, the computer device 1 periodically collects the biometric data of the user.

In one embodiment, the computer device 1 can use the wearable device 2 to collect the biometric data of the user periodically (eg, every preset time, such as 10 days or half a month). The wearable device 2 can be used to collect biometric data of the user, such as one or a combination of fingerprints, voiceprints, faces, irises, heartbeats, veins, and the like.

In one embodiment, the wearable device 2 may be a microcomputer device that can be worn or adhered to the user, such as a smart bracelet, a skin-stickable patch-type sensing device, a smart harness, a smart clothing, or the like. .

In step S2, the computer device 1 compares the currently collected biometric data with the pre-stored biometric data, and determines the difference between the currently collected biometric data and the pre-stored biometric data. When the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold, step S3 is executed. When the difference between the currently collected biometric data and the pre-stored biometric data is less than or equal to the preset threshold, go back to step S1.

In this embodiment, the pre-stored biometric data is stored in the computer device 1 or in a cloud storage communicatively connected to the computer device 1 .

Step S3, when the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold, the computer device 1 updates the pre-stored biometric data to the currently collected biometric data , and upload the currently collected biometric data to the blockchain along with the user's identification data.

In one embodiment, when the difference between the currently collected biometric data and the pre-stored biometric data is greater than the preset threshold, the computer device 1 issues a warning. The computer device 1 also closes the warning in response to the user's operation.

In one embodiment, the computer device 1 may display text prompt information on the display screen of the computer device 1 to prompt whether the user of the wearable device 2 is the user himself or herself. The computer device 1 can display a dialog box on the display screen, and when a confirmation signal confirming that the user of the wearable device 2 is the user is received from the dialog box, the alert is turned off.

In one embodiment, whether the user of the wearable device 2 is the user can be confirmed manually.

In other embodiments, the computer device 1 can also automatically identify whether the user of the wearable device 2 is the user himself.

Specifically, the computer device 1 can use the wearable device 2 to photograph the face of the current user of the wearable device 2 or directly recognize the face of the current user of the wearable device 2 by the computer device 1 . The computer device 1 then uses the face recognition algorithm to identify whether the current user of the wearable device 2 is the user himself. A face image of the user of the wearable device 2 is pre-stored in the computer device 1 .

In other embodiments, when the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold, the computer device 1, upon receiving the confirmation signal, stores the pre-stored biometric data. The biometric data is updated to the currently collected biometric data, and the currently collected biometric data is added to the user's identification data and uploaded to the blockchain. That is, when the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold, the computer device 1 needs to receive a confirmation that the current user of the wearable device 2 is the user himself. When the signal is received, the pre-stored biometric data is updated to the currently collected biometric data, and the currently collected biometric data is added to the user's identification data and uploaded to the blockchain.

In one embodiment, the computer device 1 also pre-stores the identification data of the user of the wearable device.

In one embodiment, the identification information includes, but is not limited to, the name and identification number of the user of the wearable device, a communication address, an account number and password for logging in to a designated application.

In one embodiment, the computer device 1 further uploads the biometric data of the user and the identification data of the user to the blockchain in advance.

In one embodiment, before uploading the biometric data of the user and the identification data of the user to the blockchain, the computer device 1 further records the biometric data of the user and the user The user's biometric data and the user's identification data are encrypted by using a preset encryption algorithm (such as DES encryption algorithm), and then the association is established and the encrypted data is encrypted. The user's biometric data and the user's identification data are uploaded to the blockchain.

Step S4, when it is necessary to perform identity verification on the user, the computer device 1 collects the current biometric data of the user, and downloads the user from the blockchain based on the current biometric data of the user identification information.

Specifically, when the user needs to be authenticated, the computer device 1 can use the wearable device 2 to collect the current biometric data of the user. The computer device 1 also downloads the user identification data corresponding to the collected current biometric data of the user from the blockchain. Thus, the computer device 1 can verify the user's identity based on the downloaded user identity information.

It should be noted that, when the biometric data and identification data of the user previously uploaded to the blockchain have been encrypted, the computer device 1 will also perform an encryption process on the identification data after downloading the identification data. decrypt.

In this embodiment, the need to perform identity verification on the user may refer to the need to use the user's identity identification data to perform identity verification. For example, it may mean that user authentication needs to be performed to log in to the computer device 1, and software installed on the computer device 1 needs to be used User authentication, and/or access to specific data (eg, folders) stored in the computer device 1 requires user authentication.

To sum up, the identity verification method described in the embodiments of the present invention periodically collects the biometric data of the user; compares the currently collected biometric data with the pre-stored biometric data to determine the currently collected biometric data the difference between the biometric data collected and the pre-stored biometric data; when the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold, the pre-stored biometric data The data is updated to the currently collected biometric data, and the currently collected biometric data is added to the user's identification data and uploaded to the blockchain; and when the user needs to be authenticated, the collection The user's current biometric data, based on the user's current biometric data, download the user's identification data from the blockchain to use the downloaded identification data to perform identity verification, which can be based on the use of The user's biometric information is used to obtain the identification information for performing authentication, and the user does not need to keep in mind their identification information at all times.

The above-mentioned FIG. 2 describes the identity verification method of the present invention in detail. Below, in conjunction with FIG. 3 and FIG. 4 , the functional modules of the software system for implementing the identity verification method and the hardware device architecture for implementing the identity verification method are introduced.

It should be understood that the embodiments are only used for illustration, and are not limited by this structure in the scope of the patent application.

Referring to FIG. 3 , it is a module diagram of an identity verification system provided by a preferred embodiment of the present invention.

In some embodiments, the identity verification system 30 runs on a computer device. The identity verification system 30 may include a plurality of functional modules composed of code segments. The code of each program segment in the identity verification system 30 can be stored in the memory of the computer device and executed by at least one processor to realize the identity verification function (see the description in FIG. 2 for details).

In this embodiment, the identity verification system 30 can be divided into a plurality of functional modules according to the functions performed by the identity verification system 30 . The function modules may include: an acquisition module 301 and an execution module 302 . The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can perform fixed functions, and are stored in a memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

The acquisition module 301 regularly collects the biometric data of the user.

In one embodiment, the acquisition module 301 can use the wearable device 2 to acquire the biometric data of the user on a regular basis (for example, every preset time period, for example, 10 days or half a month). The wearable device 2 can be used to collect biometric data of the user, such as one or a combination of fingerprints, voiceprints, faces, irises, heartbeats, veins, and the like.

In one embodiment, the wearable device 2 may be a microcomputer device that can be worn or adhered to the user, such as a smart bracelet, a skin-stickable patch-type sensing device, a smart harness, a smart clothing, or the like. .

The execution module 302 compares the currently collected biometric data with the pre-stored biometric data, and determines the difference between the currently collected biometric data and the pre-stored biometric data.

In this embodiment, the pre-stored biometric data is stored in the computer device 1 or in a cloud storage communicatively connected to the computer device 1 .

When the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold, the execution module 302 updates the pre-stored biometric data to the currently collected biometric data, and The currently collected biometric data is appended to the user's identification data and uploaded to the blockchain.

In one embodiment, when the difference between the currently collected biometric data and the pre-stored biometric data is greater than the preset threshold, the execution module 302 issues a warning. The execution module 302 also closes the alert in response to the user's operation.

In one embodiment, the execution module 302 may prompt to confirm whether the user of the wearable device 2 is the user by displaying text prompt information on the display screen of the computer device 1 . The execution module 302 can display a dialog box on the display screen. When the dialog box receives a confirmation signal confirming that the user of the wearable device 2 is the user, the warning is turned off.

In one embodiment, whether the user of the wearable device 2 is the user can be confirmed manually.

In other embodiments, the execution module 302 can also automatically identify whether the user of the wearable device 2 is the user himself.

Specifically, the execution module 302 can use the wearable device 2 to photograph the face of the current user of the wearable device 2 or the execution module 302 can directly perform the operation on the face of the current user of the wearable device 2 identify. The execution module 302 then uses the face recognition algorithm to identify whether the current user of the wearable device 2 is the user himself. The execution module 302 pre-stores the face image of the user of the wearable device 2 .

In other embodiments, when the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold, the execution module 302, upon receiving the confirmation signal, stores the pre-stored biometric data. The biometric data of the user is updated to the currently collected biometric data, and the currently collected biometric data is added to the user's identification data and uploaded to the blockchain. That is, when the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold, the execution module 302 needs to receive a confirmation that the current user of the wearable device 2 is the user himself. When the signal is confirmed, the pre-stored biometric data is updated to the currently collected biometric data, and the currently collected biometric data is added to the user's identification data and uploaded to the blockchain.

In one embodiment, the execution module 302 also pre-stores the identification data of the user of the wearable device, for example, in the storage of the computer device 1 .

In one embodiment, the identification information includes, but is not limited to, the name and identification number of the user of the wearable device, a communication address, an account number and password for logging in to a designated application.

In one embodiment, the execution module 302 further uploads the user's biometric data and the user's identification data to the blockchain in advance.

In one embodiment, before the execution module 302 uploads the biometric data of the user and the identification data of the user to the blockchain, the execution module 302 also executes the biometric data of the user and the usage information. The user's identification data is associated and the user's biometric data and the user's identification data are encrypted using a preset encryption algorithm (such as DES encryption algorithm), and then the association is established and encrypted. The biometric data of the user and the identification data of the user are uploaded to the blockchain.

When the user needs to be authenticated, the execution module 302 collects the user's current biometric data, and downloads the user's identity from the blockchain based on the user's current biometric data. identification information.

Specifically, when the user needs to be authenticated, the execution module 302 can use the wearable device 2 to collect the current biometric data of the user. The execution module 302 also downloads the user identification data corresponding to the collected current biometric data of the user from the blockchain. Thus, the execution module 302 can verify the user's identity based on the downloaded user identification data.

It should be noted that, when the biometric data and identification data of the user previously uploaded to the blockchain have undergone encryption processing, the execution module 302 will also verify the identity of the user after downloading the identification data. The identification data is decrypted.

In this embodiment, the need to perform identity verification on the user may refer to the need to use the user's identity identification data to perform identity verification. For example, it may mean that logging into the computer device 1 requires user authentication, software installed on the computer device 1 requires user authentication, and/or accessing specified data stored in the computer device 1 (eg folders) requires user authentication to be performed.

To sum up, the identity verification system described in the embodiments of the present invention regularly collects the biometric data of the user; compares the currently collected biometric data with the pre-stored biometric data to determine the currently collected biometric data Differences between biometric data currently collected and pre-stored biometric data; differences between currently collected biometric data and pre-stored biometric data When it is greater than the preset threshold, update the pre-stored biometric data to the currently collected biometric data, and upload the currently collected biometric data with the user's identification data to the blockchain; and when the user needs to be authenticated, collect the user's current biometric data, and download the user's identification data from the blockchain based on the user's current biometric data, By using the downloaded identification information to perform identity verification, the identification information for performing the identity verification can be obtained based on the biometric data of the user, and the user does not need to keep his own identification information in mind at all times.

Referring to FIG. 4 , it is a schematic structural diagram of a computer device according to a preferred embodiment of the present invention. In a preferred embodiment of the present invention, the computer device 1 includes a storage 31 , at least one processor 32 , at least one communication bus 33 , a display screen 34 , and a communication module 35 . Those skilled in the art should understand that the structure of the computer device shown in FIG. 4 does not constitute a limitation of the embodiments of the present invention, and may be a bus-bar type structure or a star-shaped structure, and the computer device 1 may also include a More or less other hardware or software, or different component arrangements are shown.

In one embodiment, the computer device 1 can establish a communication connection with one or more of the wearable devices 2 through a wired method (eg, USB (Universal Serial Bus, Universal Serial Bus)) or a wireless method.

In this embodiment, the computer device 1 may be any device that needs to perform user authentication, such as a computer or other terminal device. In this embodiment, the need to perform user identity verification may refer to the need to perform user identity verification to log in to the computer device 1, the software installed in the computer device 1 to perform user identity verification, or to access data stored in the computer device 1. The specified data (eg, folder) of the computer device 1 needs to perform user authentication.

In some embodiments, the computer device 1 includes a terminal capable of automatically performing numerical calculation and/or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, dedicated integrated circuits, Programmable design gate arrays, digital word processors and embedded devices, etc.

It should be noted that the computer device 1 is only an example, and other existing or future electronic products that can be adapted to the present invention should also be included within the protection scope of the present invention, and are incorporated herein by reference.

In some embodiments, the storage 31 is used to store program codes and various data, such as the identity verification system 30 installed in the computer device 1 , and realize high-speed and automatic completion during the operation of the computer device 1 . Access to programs or data. The storage 31 includes a Read-Only Memory (ROM), a Programmable Read-Only Memory (PROM), and an Erasable Programmable Read-Only Memory (Erasable Programmable Read). -Only Memory, EPROM), One-time Programmable Read-Only Memory (OTPROM), Electronically-Erasable Programmable Read-Only Memory (EEPROM) , Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other computer-readable storage medium that can be used to carry or store data.

In some embodiments, the at least one processor 32 may be composed of an integrated circuit, for example, may be composed of a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions , including one or more central processing units (Central Processing Units, CPUs), microprocessors, digital word processing chips, graphics processors and combinations of various control chips, etc. The at least one processor 32 is the control core (Control Unit) of the computer device 1, and uses various interfaces and lines to connect the various components of the entire computer device 1, by running or executing the programs stored in the storage 31 or module, and call the data stored in the storage 31 to perform various functions of the computer device 1 and process data, such as the function of performing identity verification.

In some embodiments, the at least one communication bus 33 is configured to enable connection communication between the storage 31 and the at least one processor 32 and the like.

The display screen 34 may be a touch display screen. The communication module 35 may be a Bluetooth module or a WIFI module.

Although not shown, the computer device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 32 through the power management device, so as to realize the realization through the power management device. Manage charging, discharging, and power management functions. The power supply may also include one or more of a DC or AC power source, a recharging device, a power failure detection circuit, a power converter or inverter, a power supply status indicator, or any other element. The computer device 1 may also include various sensors, etc., which will not be repeated here.

It should be understood that the embodiments are only used for illustration, and are not limited by this structure in the scope of the patent application.

The above-mentioned integrated units implemented in the form of software function modules can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, and includes a number of instructions for causing a computer device (which may be a server, a personal computer, etc.) or a processor to execute parts of the methods described in various embodiments of the present invention.

In a further embodiment, referring to FIG. 3 , the at least one processor 32 can execute the operating system of the computer device 1 and various installed applications (such as the authentication system 30 ), code, etc., For example, the above-mentioned modules.

The storage 31 stores program codes, and the at least one processor 32 can call the program codes stored in the storage 31 to execute related functions. For example, each module described in FIG. 3 is a program code stored in the storage 31 and executed by the at least one processor 32, so as to realize the functions of the various modules to achieve identity verification. Purpose.

In one embodiment of the present invention, the storage 31 stores one or more instructions (ie, at least one instruction), and the at least one instruction is executed by the at least one processor 32 for the purpose of authentication.

With reference to FIG. 2 , the specific implementation method of the at least one processor 32 for the above-mentioned at least one instruction includes: periodically collecting the biometric data of the user; comparing the currently collected biometric data with the pre-stored biometric data Yes, determine the current collected biometric data and the pre-stored When the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold, update the pre-stored biometric data to the currently collected biometric data the biometric data, and upload the currently collected biometric data with the user's identification data to the blockchain; and when the user needs to be authenticated, collect the user's current biometric data Feature data, download the user's identification data from the blockchain based on the user's current biometric data, so as to use the downloaded identification data to perform identity verification.

Preferably, the biometric data includes one or a combination of fingerprints, voiceprints, faces, irises, heartbeats, and veins.

Preferably, the method utilizes the wearable device to periodically collect the biometric data of the user.

Preferably, the method further includes: when the difference between the currently collected biometric data and the pre-stored biometric data is greater than the preset threshold, issuing a warning; and closing the system in response to the user's operation the warning.

Preferably, the identity identification data includes: name and identity number, communication address, account number and password for logging in to a designated application.

Preferably, the method further includes: before uploading the currently collected biometric data with the user's identification data to the blockchain, using a preset encryption algorithm to encrypt the currently collected biometric data And the user's identification data is encrypted; and when the user's identification data is downloaded from the blockchain, the user's identification data is decrypted.

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are only illustrative. For example, the division of the modules is only a logical function division, and other division methods may be used in actual implementation.

The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they can be located in one place or distributed to multiple networks. on the unit. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or can be implemented in the form of hardware plus software function modules.

It will be apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, but that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments are to be regarded in all respects as illustrative and not restrictive, and the scope of the present invention is defined by the appended claims rather than the foregoing description, and is therefore intended to fall within the scope of the claims. All changes within the meaning and range of the equivalents of , are included in the present invention. Any reference sign in a claim should not be construed as limiting the claim to which it relates. Furthermore, it is clear that the word "comprising" does not exclude other units or, and the singular does not exclude the plural. Multiple units or means stated in the device claim may also be implemented by one unit or means through software or hardware. The terms first, second, etc. are used to denote names and do not denote any particular order.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be Modifications or equivalent substitutions can be made without departing from the spirit and scope of the technical solutions of the present invention.

Claims (7)

An identity verification method applied to a computer device, wherein the method comprises: using a wearable device to periodically collect a biometric data of a user; comparing the currently collected biometric data with pre-stored biometric data Yes, determine the difference between the currently collected biometric data and the pre-stored biometric data; the difference between the currently collected biometric data and the pre-stored biometric data is greater than a preset threshold , and when it is confirmed that the current user of the wearable device is the user according to another biometric data of the user, the pre-stored biometric data is updated to the currently collected biometric data, and the The currently collected biometric data is uploaded to the blockchain along with the user's identification data; and when the user needs to be authenticated, the current biometric data of the user is collected, based on the The current biometric data of the user downloads the user's identification data from the blockchain, so as to use the downloaded identification data to perform identity verification. The identity verification method according to claim 1, wherein the biometric data collected periodically includes one or a combination of fingerprints, voiceprints, irises, heartbeats, and veins, and the other biometrics The data includes human faces. The identity verification method according to claim 1, wherein the method further comprises: when the difference between the currently collected biometric data and the pre-stored biometric data is greater than the preset threshold, issuing an alert; and dismissing the alert in response to a user action. The identity verification method according to claim 1, wherein the identity identification data includes: name and identity number, communication address, account number and password for logging in to a specified application. The authentication method according to claim 1, wherein the method further comprises: Before uploading the currently collected biometric data with the user's identification data to the blockchain, a preset encryption algorithm is used to encrypt the currently collected biometric data and the usage The user's identification data is encrypted; and when the user's identification data is downloaded from the blockchain, the user's identification data is decrypted. A computer device, wherein the computer device comprises a processor and a storage, the storage is used to store at least one instruction, and the processor is configured to execute the at least one instruction to achieve any one of claim 1 to 5. the authentication method described above. A computer-readable storage medium, wherein the computer-readable storage medium stores at least one instruction, when the one instruction is executed by a processor, the authentication method according to any one of claim items 1 to 5 is implemented.

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