CN113918909A - Multi-factor authentication system and method based on AR equipment - Google Patents
Multi-factor authentication system and method based on AR equipment Download PDFInfo
- Publication number
- CN113918909A CN113918909A CN202111012004.8A CN202111012004A CN113918909A CN 113918909 A CN113918909 A CN 113918909A CN 202111012004 A CN202111012004 A CN 202111012004A CN 113918909 A CN113918909 A CN 113918909A
- Authority
- CN
- China
- Prior art keywords
- user
- module
- palm print
- palm
- input
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
Abstract
The invention discloses a multi-factor authentication system and a method based on AR equipment, wherein the system comprises an input module, a display module, a storage module and a verification module; the input module is mainly responsible for voice input of random number voice authentication and palm print intercepting input of palm print authentication and transmits the input to the storage module for storage or the verification module for verification; the display module is responsible for displaying a user interface of the AR equipment, and comprises display of an authentication mode, display of a random number and display of an authentication result; the storage module is used for storing the password and the palm print input by the user; the verification module is responsible for reading the correction value and the palm print input by the input module and the password and the palm print in the storage module, verifying and returning the verification result to the display module for displaying. The invention enriches the user authentication means of the AR equipment, improves the safety of the AR equipment, does not need the support of complex hardware equipment, has lower use cost and is beneficial to practical application and popularization.
Description
Technical Field
The invention belongs to the technical field of identity authentication, and particularly relates to a multi-factor authentication system and method based on AR equipment.
Background
With the rapid development of the AR technology, people will enjoy the convenience brought by more and more AR technologies in the fields of shopping, games, engineering, and the like. At present, the industry focuses more on developing and displaying the content of AR, but research on the problem of AR security is still lacked, and AR security becomes a problem to be solved urgently.
The current mainstream user authentication approach is knowledge-based authentication: such as character string passwords, gesture passwords, etc., and authentication based on biometrics: fingerprint identification and face identification. However, if these mainstream user authentication methods are directly transplanted to the AR device, some security problems may occur. Such as: authentication in public places using unchangeable secrets with gesture password input often suffers from attackers using shoulder surfing (shoulder surfing) or video recording (video recording) to steal the secrets. The AR device needs an authentication method more suitable for its interaction characteristics. Therefore, the invention designs random number password authentication: an initial random number (R) is generated by a secure random number generator and displayed on a user's screen. Then, the user inputs a correction value according to the random number voice, the correction value is added with the random number according to the digit and the result of the modulo 10 is equal to the user password, and the user password is masked by replacing the user password with the correction value, so that the attacks such as shoulder surfing, video recording and the like can be effectively resisted.
Meanwhile, the security protection of the AR by the single authentication factor is limited, and the security of the AR can be better ensured by adopting a plurality of authentication factors. Therefore, the invention combines the other verification modes (such as fingerprint and face recognition) of the current mobile terminal, and provides a new verification mode for AR identity authentication: and (5) identifying the palm print. The user only needs to place the hand in front of the camera to identify, and the authentication method is suitable for AR equipment. In terms of security, the security of palm print identification and the verification passing rate are also realized based on the processing of images and comparison algorithms. As long as the accuracy of the algorithm is ensured, the safety of the whole scheme can be guaranteed.
Disclosure of Invention
The invention mainly aims to overcome the defects of the prior art and provide a multi-factor authentication system and method based on AR equipment.
In order to achieve the purpose, the invention adopts the following technical scheme:
in one aspect of the invention, a multi-factor authentication system based on an AR device is provided, which comprises an input module, a display module, a storage module and a verification module;
the input module comprises a voice recognition module and a palm print recognition module; the user inputs and identifies voice and palmprint through the voice identification module and the palmprint identification module; the input data is transmitted to a storage module or a verification module;
the display module is used for displaying a user interface of the AR equipment, and comprises display of an authentication mode option, display of a random number and display of an authentication result;
the storage module is used for receiving and storing the password and the palm print input by the user;
the verification module is used for reading the user voice and the palm print input by the input module, performing random number voice verification and palm print authentication with the password and the palm print in the storage module, and returning a verification result to the display module for displaying.
Preferably, the input module, the display module, the storage module and the verification module acquire data or read file data by a method provided by a C # script and perform communication among the modules.
As a preferred technical solution, the speech recognition module is configured to perform speech input and recognition, and specifically includes:
receiving a voice input of a user;
uploading and identifying a recording fragment input by voice through a voice identification API;
obtaining a return result through a voice recognition API;
and transmitting the returned result to a storage module for storage, or transmitting the returned result to a verification module for random number voice authentication.
As a preferred technical solution, the palmprint recognition module is configured to perform voice input and recognition, and specifically includes:
the user places the palm in front of the camera of the palm print recognition module and clicks the palm print intercepting button to obtain the palm picture of the user
Converting the user palm picture into a YUV mode, and filtering by using a skin color threshold value in the YUV mode to obtain a binary black-and-white palm picture;
obtaining a user palm picture with a background removed by using a black and white user palm picture as a mask;
obtaining the center of the user palm based on distance transformation and the region of interest according to the black and white user palm picture, obtaining an inscribed circle of the center of the user palm according to the maximum radius of the center of the user palm, and intercepting an inscribed square of the inscribed circle to obtain a user palm print pattern;
and transmitting the user palm print pattern to a storage module for storage, or transmitting the user palm print pattern to a verification module for palm print authentication.
As a preferred technical solution, the random number voice authentication specifically includes:
the verification module generates a random number which is the same as the password digit number and transmits the random number to the display module for displaying;
the user calculates according to the preset password and the current random number, and inputs a correction value through the voice recognition module;
the verification module reads the password preset by the user in the storage module and the correction value input by the input module, verifies whether the result obtained by bitwise adding the random number and the correction value and bitwise modulo 10 is equal to the password preset by the user, sets the authentication result as authentication passing if the result is equal to the password preset by the user, sets the authentication result as authentication failure if the result is not equal to the password preset by the user, and returns the authentication result to the display module for displaying.
As a preferred technical solution, the palm print authentication specifically includes:
the verification module reads the user palm print pattern pre-entered by the user in the storage module and the user palm print pattern input by the input module,
and calculating the similarity between the input user palm print pattern and the pre-input user palm print pattern by using a mean hash algorithm and an interpolation hash algorithm, if the similarity is lower than a set threshold value, setting the authentication result as authentication pass, otherwise, setting the authentication result as authentication failure, and returning the authentication result to the display module for displaying.
In another aspect of the present invention, a multi-factor authentication method based on an AR device is further provided, which is applied to the above multi-factor authentication system based on an AR device, and includes the following steps:
s1, the user registers the account with the multi-factor authentication system, and the personal basic information is stored in the storage module of the multi-factor authentication system;
s2, the user inputs the user password and the user palm print for the random number voice authentication through the input module, and the multi-factor authentication system binds the user password and the user account and stores the user password and the user account in the storage module;
s3, the multi-factor authentication system intercepts the user palm print and extracts the user palm print characteristic, and binds the user palm print characteristic with the user account and stores the user palm print characteristic in the storage module;
s4, selecting a user account needing to be logged in;
s5, the multi-factor authentication system generates a random number and verifies the correction value input by the user, and if the verification fails, the user account needing to be logged in is reselected;
s6, the user inputs the palm print through the input module, the verification module intercepts the user palm print and extracts the user palm print characteristic, then the user palm print characteristic is compared with the known user palm print characteristic for verification, if the verification fails, the user account needing to be logged in is reselected; and if the verification is successful, completing the verification.
As a preferred technical scheme, the multi-factor authentication system intercepting the user palm print and extracting the user palm print features specifically comprises the following steps:
s31, intercepting a user palm picture by the multi-factor authentication system;
s32, converting the user palm picture obtained in the step S31 into a YUV mode, filtering by using a skin color threshold value in the YUV mode to obtain a binary black and white picture, and obtaining the user palm picture without the background by using the black and white picture as a mask;
and S33, obtaining the palm center based on the distance transformation and the region of interest according to the black and white picture obtained in the step S32, drawing an inscribed circle of the palm according to the maximum radius, and intercepting an inscribed square of the inscribed circle to obtain a palm print pattern of the user.
As a preferred technical solution, the multi-factor authentication system generating a random number and verifying a correction value input by a user specifically includes the steps of:
s51, the multi-factor authentication system generates a random number for authentication by using a random number generation algorithm and displays the random number to a user through a display module;
s52, the user inputs the correction value calculated according to the random number and the user password obtained in the step S51 through the input module and the voice, and the correction value is recorded into the system;
and S53, the multi-factor authentication system verifies the correction value input by the user and returns a verification result, and the verification result is displayed to the user through the display module.
As a preferred technical scheme, the verification module intercepts the user palm print and extracts the user palm print feature, and then compares the user palm print feature with the known user palm print feature to verify the user palm print feature specifically comprises the following steps:
s61, intercepting a user palm picture by a verification module;
s62, converting the user palm picture obtained in the step S61 into a YUV mode, filtering by using a skin color threshold value in the YUV mode to obtain a binary black and white palm picture, and obtaining the user palm picture without the background by using the black and white picture as a mask;
s63, obtaining the palm center based on distance transformation and the region of interest according to the black and white picture obtained in the step S62, drawing an inscribed circle of the palm according to the maximum radius, and intercepting an inscribed square of the inscribed circle to obtain a palm print pattern of the user;
s64, calculating the similarity of the user palm print pattern obtained in the step S63 and the palm print pattern of the selected login user account by using a mean hash algorithm and a difference hash algorithm;
and S65, judging whether the verification is passed according to the palm print similarity obtained in the step S64, and displaying the result to the user through a display module.
Compared with the prior art, the invention has the following advantages and beneficial effects:
(1) the invention provides a safe and efficient polyphone user authentication method for a plurality of AR devices, enriches user authentication means of the AR devices, improves the safety of the AR devices, and can give consideration to the safety and the usability of user authentication.
(2) The invention does not need the support of complex hardware equipment, can finish the identification and authentication of the user only by relying on the ubiquitous AR camera and microphone on the AR equipment, has lower use cost, and is very favorable for the practical application and popularization of the invention.
(3) The random number voice authentication scheme provided by the invention can effectively resist shoulder surfing (short surfing) and video recording (video recording), enriches the identity authentication means of the AR equipment and improves the safety of the AR equipment.
Drawings
Fig. 1 is a schematic structural diagram of a multi-factor authentication system based on an AR device according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating operation of a random number voice authentication according to an embodiment of the present invention;
fig. 3 is a user interface for random number voice authentication according to an embodiment of the present invention.
FIG. 4 is a flowchart illustrating the operation of palm print extraction and identification according to an embodiment of the present invention;
fig. 5 is a user interface of palm print authentication according to an embodiment of the present invention.
Fig. 6 is a schematic view illustrating palm print extraction and recognition according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the described embodiments are merely some embodiments of the application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Examples
As shown in fig. 1, the present embodiment provides a multi-factor authentication system based on an AR device, which is characterized by comprising an input module, a display module, a storage module and a verification module;
the input module comprises a voice recognition module and a palm print recognition module; the user inputs and identifies voice and palmprint through the voice identification module and the palmprint identification module; the input data is transmitted to a storage module or a verification module;
the display module is used for displaying a user interface of the AR equipment, and comprises display of an authentication mode, display of a random number and display of an authentication result;
the storage module is used for receiving and storing the password and the palm print input by the user;
the verification module is used for reading the user voice and the palm print input by the input module, performing random number voice verification and palm print authentication with the password and the palm print in the storage module, and returning a verification result to the display module for displaying;
the input module, the display module, the storage module and the verification module acquire data or read file data by a method provided by a C # script and perform communication among the modules.
The voice recognition module comprises the following working steps:
receiving a voice input of a user;
uploading and identifying a recording fragment input by voice through a voice identification API;
obtaining a return result through a voice recognition API;
and transmitting the returned result to a storage module for storage, or transmitting the returned result to a verification module for random number voice authentication.
As shown in fig. 5 and 6, the working steps of the palm print recognition module are as follows:
the user places the palm in front of the camera of the palm print recognition module and clicks the palm print intercepting button to obtain the palm picture of the user
Converting the user palm picture into a YUV mode, and filtering by using a skin color threshold value in the YUV mode to obtain a binary black-and-white palm picture;
obtaining a user palm picture with a background removed by using a black and white user palm picture as a mask;
obtaining the center of the user palm based on distance transformation and the region of interest according to the black and white user palm picture, obtaining an inscribed circle of the center of the user palm according to the maximum radius of the center of the user palm, and intercepting an inscribed square of the inscribed circle to obtain a user palm print pattern;
and transmitting the user palm print pattern to a storage module for storage, or transmitting the user palm print pattern to a verification module for palm print authentication.
As shown in fig. 2, the random number voice authentication specifically includes:
the verification module generates a random number which is the same as the password digit number and transmits the random number to the display module for displaying;
the user calculates according to the preset password and the current random number, and inputs a correction value through the voice recognition module;
the verification module reads the password preset by the user in the storage module and the correction value input by the input module, verifies whether the result obtained by bitwise adding the random number and the correction value and bitwise modulo 10 is equal to the password preset by the user, sets the authentication result as authentication passing if the result is equal to the password preset by the user, sets the authentication result as authentication failure if the result is not equal to the password preset by the user, and returns the authentication result to the display module for displaying.
As shown in fig. 3 and 4, the palm print authentication specifically includes:
the verification module reads the user palm print pattern pre-entered by the user in the storage module and the user palm print pattern input by the input module,
and calculating the similarity between the input user palm print pattern and the pre-input user palm print pattern by using a mean hash algorithm and an interpolation hash algorithm, if the similarity is lower than a set threshold value, setting the authentication result as authentication pass, otherwise, setting the authentication result as authentication failure, and returning the authentication result to the display module for displaying.
It should be noted that the system provided in the foregoing embodiment is only illustrated by the division of the functional modules, and in practical applications, the above functions may be distributed by different functional modules as needed, that is, the internal structure is divided into different functional modules to complete all or part of the functions described above.
As shown in fig. 2, in another embodiment of the present application, there is further provided an AR device-based multi-factor authentication method, which is applied to the AR device-based multi-factor authentication system of the foregoing embodiment, and includes the following steps:
s1, when the user uses the AR equipment for the first time, the user needs to register an account with the multi-factor authentication system, and personal basic information is stored in a storage module of the multi-factor authentication system;
s2, in the user password input stage, the user inputs the user password for random number voice authentication through the input module, and the system binds the user password and the user account and stores the user password and the user account in the storage module;
s3, placing the palm of the user in front of the camera, intercepting the palm print of the user by the multi-factor authentication system, extracting the characteristics of the palm print of the user, binding the characteristics of the palm print of the user with the user account and storing the characteristics in a storage module;
as shown in fig. 6, intercepting the user's palm print and extracting the user's palm print feature by the multi-factor authentication system specifically includes the following steps:
s31, intercepting a user palm picture by the multi-factor authentication system;
s32, converting the user palm picture obtained in the step S31 into a YUV mode, filtering by using a skin color threshold value in the YUV mode to obtain a binary black and white palm picture, and obtaining the user palm picture without the background by using the black and white picture as a mask;
and S33, obtaining the palm center based on the distance transformation and the region of interest according to the black and white picture obtained in the step S32, and drawing an inscribed circle of the palm according to the maximum radius. An inscribed square of the inscribed circle is cut. Obtaining the palm print pattern of the user.
S4, selecting a user account needing to be logged in;
s5, the multi-factor authentication system generates a random number and verifies the correction value input by the user, and if the verification fails, the user account needing to be logged in is reselected;
as shown in fig. 4, the multi-factor authentication system generating a random number and verifying a correction value input by a user specifically includes the following steps:
s51, the multi-factor authentication system generates a random number for authentication by using a random number generation algorithm and displays the random number to a user through a display module;
s52, the user inputs the correction value calculated according to the random number and the user password obtained in the step S51 through the input module and the voice, and the correction value is recorded into the system;
and S53, the multi-factor authentication system verifies the correction value input by the user and returns a verification result, and the verification result is displayed to the user through the display module.
S6, the user inputs the palm print through the input module, the multi-factor authentication system intercepts the user palm print and extracts the user palm print characteristic, then the user palm print characteristic is compared with the known user palm print characteristic for verification, if the verification fails, the user account needing to be logged in is reselected; and if the verification is successful, completing the verification.
The multi-factor authentication system intercepts the user palm print, extracts the user palm print characteristics, and then compares and verifies the user palm print characteristics with the known user palm print characteristics, and the method specifically comprises the following steps:
s61, intercepting a user palm picture by the multi-factor authentication system;
s62, converting the user palm picture obtained in the step S61 into a YUV mode, filtering by using a skin color threshold value in the YUV mode to obtain a binary black and white picture, and obtaining the user palm picture without the background by using the black and white picture as a mask;
and S63, obtaining the palm center based on the distance transformation and the region of interest according to the black and white picture obtained in the step S62, and drawing an inscribed circle of the palm according to the maximum radius. An inscribed square of the inscribed circle is cut. Obtaining a user palm print pattern;
s64, calculating the similarity of the user palm print pattern obtained in the step S63 and the palm print pattern of the selected login user account by using a mean hash algorithm and a difference hash algorithm;
and S65, judging whether the verification is passed or not according to the palm print similarity obtained in the step S64, if the similarity is lower than a set threshold value, setting the authentication result as authentication passing, otherwise, setting the authentication result as authentication failure, and returning the authentication result to the display module to display the authentication result.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Claims (10)
1. The multi-factor authentication system based on the AR equipment is characterized by comprising an input module, a display module, a storage module and a verification module;
the input module comprises a voice recognition module and a palm print recognition module; the user inputs and identifies voice and palmprint through the voice identification module and the palmprint identification module; the input data is transmitted to a storage module or a verification module;
the display module is used for displaying a user interface of the AR equipment, and comprises display of an authentication mode option, display of a random number and display of an authentication result;
the storage module is used for receiving and storing the password and the palm print input by the user;
the verification module is used for reading the user voice and the palm print input by the input module, performing random number voice verification and palm print authentication with the password and the palm print in the storage module, and returning a verification result to the display module for displaying.
2. The AR device-based multi-factor authentication system of claim 1, wherein the input module, the display module, the storage module and the verification module perform data acquisition or file data reading and inter-module communication by a method provided by a C # script.
3. The AR device-based multi-factor authentication system of claim 1, wherein the speech recognition module is configured to perform speech input and recognition, specifically:
receiving a voice input of a user;
uploading and identifying a recording fragment input by voice through a voice identification API;
obtaining a return result through a voice recognition API;
and transmitting the returned result to a storage module for storage, or transmitting the returned result to a verification module for random number voice authentication.
4. The AR device-based multi-factor authentication system of claim 1, wherein the palm print recognition module is configured to perform palm print input and recognition, specifically: :
the user places the palm in front of a camera of the palm print identification module and clicks an intercepting palm print button to obtain a palm image of the user;
converting the user palm picture into a YUV mode, and filtering by using a skin color threshold value in the YUV mode to obtain a binary black-and-white palm picture;
obtaining a user palm picture with a background removed by using a black and white user palm picture as a mask;
obtaining the center of the user palm based on distance transformation and the region of interest according to the black and white user palm picture, obtaining an inscribed circle of the center of the user palm according to the maximum radius of the center of the user palm, and intercepting an inscribed square of the inscribed circle to obtain a user palm print pattern;
and transmitting the user palm print pattern to a storage module for storage, or transmitting the user palm print pattern to a verification module for palm print authentication.
5. The AR device-based multi-factor authentication system of claim 1, wherein the nonce voice authentication is specifically:
the verification module generates a random number which is the same as the password digit number and transmits the random number to the display module for displaying;
the user calculates according to the preset password and the current random number, and inputs a correction value through the voice recognition module;
the verification module reads the password preset by the user in the storage module and the correction value input by the input module, verifies whether the result obtained by bitwise adding the random number and the correction value and bitwise modulo 10 is equal to the password preset by the user, sets the authentication result as authentication passing if the result is equal to the password preset by the user, sets the authentication result as authentication failure if the result is not equal to the password preset by the user, and returns the authentication result to the display module for displaying.
6. The AR device-based multi-factor authentication system of claim 1, wherein the palm print authentication is specifically:
the verification module reads the user palm print pattern pre-entered by the user in the storage module and the user palm print pattern input by the input module,
and calculating the similarity between the input user palm print pattern and the pre-input user palm print pattern by using a mean hash algorithm and an interpolation hash algorithm, if the similarity is lower than a set threshold value, setting the authentication result as authentication pass, otherwise, setting the authentication result as authentication failure, and returning the authentication result to the display module for displaying.
7. The multi-factor authentication method based on the AR equipment is applied to the multi-factor authentication system based on the AR equipment in any one of claims 1 to 6, and comprises the following steps:
the user registers an account with the multi-factor authentication system and stores the personal basic information into a storage module of the multi-factor authentication system;
the user inputs a user password and a user palm print for random number voice authentication through the input module, and the multi-factor authentication system binds the user password and a user account and stores the user password and the user account in the storage module;
the multi-factor authentication system intercepts a user palm print and extracts the characteristics of the user palm print, and binds the characteristics of the user palm print with a user account and stores the characteristics in a storage module;
selecting a user account needing to be logged in;
the multi-factor authentication system generates a random number and verifies a correction value input by a user, and if the verification fails, the user account needing to be logged in is reselected;
the user inputs the palm print through the input module, the verification module intercepts the user palm print and extracts the user palm print characteristics, then the user palm print characteristics are compared with the known user palm print characteristics for verification, and if the verification fails, the user account needing to be logged in is reselected; and if the verification is successful, completing the verification.
8. The multi-factor authentication method based on the AR device of claim 7, wherein the multi-factor authentication system intercepts the user's palm print and extracts the user's palm print features specifically comprises the following steps:
intercepting a user palm picture by a multi-factor authentication system;
converting the user palm picture into a YUV mode, filtering by using a skin color threshold value in the YUV mode to obtain a binary black and white picture, and obtaining the user palm picture without the background by using the black and white picture as a mask;
and obtaining the palm center based on the distance transformation and the region of interest according to the obtained black and white picture, drawing an inscribed circle of the palm according to the maximum radius, and intercepting an inscribed square of the inscribed circle to obtain a palm print pattern of the user.
9. The AR device-based multi-factor authentication method of claim 7, wherein the multi-factor authentication system generates a random number and verifies a correction value input by a user specifically comprises the steps of:
the multi-factor authentication system generates a random number for authentication by using a random number generation algorithm and displays the random number to a user through a display module;
the user calculates the correction value according to the displayed random number and the user password, carries out voice input through the input module and inputs the correction value into the system;
the multi-factor authentication system verifies the correction value input by the user and returns a verification result, and the verification result is displayed to the user through the display module.
10. The multi-factor authentication method based on the AR device of claim 7, wherein the verification module intercepts the user's palm print and extracts the user's palm print feature, and then compares the user's palm print feature with the known user's palm print feature for verification, specifically comprising the steps of:
intercepting a user palm picture by a verification module;
converting the user palm picture into a YUV mode, filtering by using a skin color threshold value in the YUV mode to obtain a binary black and white palm picture, and obtaining the user palm picture without the background by using the black and white picture as a mask;
obtaining the palm center based on the distance transformation and the region of interest according to the obtained black and white picture, drawing an inscribed circle of the palm according to the maximum radius, and intercepting an inscribed square of the inscribed circle to obtain a palm print pattern of the user;
performing similarity calculation on the user palm print pattern obtained in the step S63 and the palm print pattern of the selected login user account by using a mean hash algorithm and a difference hash algorithm;
and judging whether the verification passes according to the obtained palm print similarity, and displaying the result to the user through a display module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111012004.8A CN113918909A (en) | 2021-08-31 | 2021-08-31 | Multi-factor authentication system and method based on AR equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111012004.8A CN113918909A (en) | 2021-08-31 | 2021-08-31 | Multi-factor authentication system and method based on AR equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113918909A true CN113918909A (en) | 2022-01-11 |
Family
ID=79233735
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111012004.8A Pending CN113918909A (en) | 2021-08-31 | 2021-08-31 | Multi-factor authentication system and method based on AR equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113918909A (en) |
-
2021
- 2021-08-31 CN CN202111012004.8A patent/CN113918909A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8473748B2 (en) | Mobile device-based authentication | |
| KR100992573B1 (en) | Authentication method and system using mobile terminal | |
| JP6444500B2 (en) | User authentication method and system using variable keypad and biometric authentication | |
| Guerar et al. | Using screen brightness to improve security in mobile social network access | |
| Perera et al. | Efficient and low latency detection of intruders in mobile active authentication | |
| EP3403211B1 (en) | User interface for a mobile device | |
| EP3403210B1 (en) | User interface for a mobile device | |
| CN105281907B (en) | Encrypted data processing method and device | |
| CN107533598B (en) | Input method and device of login password of application program and terminal | |
| Guerar et al. | A completely automatic public physical test to tell computers and humans apart: A way to enhance authentication schemes in mobile devices | |
| CN112313983A (en) | User authentication using companion device | |
| CN109254661A (en) | Image display method, device, storage medium and electronic equipment | |
| AU2013205126A1 (en) | Facial recognition streamlined login | |
| CN105260632B (en) | A kind of method for authenticating and terminal | |
| CN113918909A (en) | Multi-factor authentication system and method based on AR equipment | |
| WO2019245437A1 (en) | Method and electronic device for authenticating a user | |
| CN109165490A (en) | A kind of data inputting method and device | |
| Alsuhibany | A camouflage text-based password approach for mobile devices against shoulder-surfing attack | |
| KR101516565B1 (en) | Apparatus and method for auhentication using an image | |
| CN114900289B (en) | Data security processing method, system, device and medium | |
| CN113051535B (en) | Equipment unlocking method and device | |
| Papaioannou et al. | Behavioral biometrics for mobile user authentication: benefits and limitations | |
| Golar et al. | Security Analysis of the Graphical Password-Based Authentication Systems with Different Attack Proofs | |
| KR20230077416A (en) | User device and method for providing service based on fido 2.0 | |
| Yusuf et al. | Adamu Habu Adamu2 & Sani Salisu1 1Faculty of Computing, Federal University Dutse, PMB 7156, Jigawa State, Nigeria. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |