CN111159676A - Multi-dimensional identity authentication system and method based on face recognition - Google Patents

Multi-dimensional identity authentication system and method based on face recognition Download PDF

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CN111159676A
CN111159676A CN201911137063.0A CN201911137063A CN111159676A CN 111159676 A CN111159676 A CN 111159676A CN 201911137063 A CN201911137063 A CN 201911137063A CN 111159676 A CN111159676 A CN 111159676A
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林忠威
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Tianjin Heng Yi Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40Spoof detection, e.g. liveness detection
    • G06V40/45Detection of the body part being alive
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/70Multimodal biometrics, e.g. combining information from different biometric modalities

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  • Oral & Maxillofacial Surgery (AREA)
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Abstract

The invention discloses a multidimensional identity authentication system based on face recognition, which comprises acquisition equipment and a server, wherein the output end of the server is connected with the input end of an authentication unit, the server is in bidirectional connection with a database, the acquisition equipment comprises a display screen, a camera and a microphone, the output end of the camera is connected with the input end of the server, the input end of the display screen is connected with the output end of the server, the output end of the microphone is connected with the input end of the server, and the server comprises a central control center. The multi-dimensional identity authentication system and method based on face recognition are connected with the input end of the authentication unit through the output end of the server, technical performance is stable, market popularization is strong, the face three-dimensional recognition unit comprises a three-dimensional multi-angle recognition module, and the activity of a user can be determined through mouth shape and mouth opening recognition in the face three-dimensional recognition and reading processes.

Description

Multi-dimensional identity authentication system and method based on face recognition
Technical Field
The invention relates to the technical field of identity authentication, in particular to a face recognition-based multi-dimensional identity authentication system and method.
Background
Identity authentication, also called "authentication" or "authentication", refers to a process of confirming the identity of an operator in a computer and computer network system, thereby determining whether the user has access and usage rights to a certain resource, the identity authentication enables the access policies of the computer and network system to be reliably and effectively executed, prevents attackers from impersonating legitimate users from obtaining access rights to resources, ensures the security of the system and data, and authorizes the legitimate interests of the accessor, face recognition, is a biometric technology for identity recognition based on human facial feature information, collects images or video streams containing faces with a camera or a camera, automatically detects and tracks faces in the images, and further performs a series of related technologies for faces detected, also commonly called face recognition, the research of face recognition systems is started in the 20 th century 60 s, the development of computer technology and optical imaging technology is improved after 80 years, and the real entering into the primary application stage is in the later 90 years, and the technology realization of the United states, Germany and Japan is taken as the main point; the key to the success of the face recognition system is whether the face recognition system has a core algorithm with a sharp end or not, and the recognition result has practical recognition rate and recognition speed; the human face recognition system integrates various professional technologies such as artificial intelligence, machine recognition, machine learning, model theory, expert system and video image processing, and meanwhile, the theory and implementation of intermediate value processing need to be combined, so that the human face recognition system is the latest application of biological feature recognition, the core technology of the human face recognition system is implemented, and the conversion from weak artificial intelligence to strong artificial intelligence is shown.
The current face identification authentication is widely used in the society, but because face image information is easy to obtain, the security of the authentication is greatly reduced, and the pure use of a payment mode based on face identification has great risk, but because of the cultivation in the market and the habituation of users, face payment has already formed a trend.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a face recognition-based multi-dimensional identity authentication system and method, which solve the problems that the existing face recognition identity authentication is widely used in the society, but the security of the identity authentication is greatly reduced due to the easy acquireability of face image information, and the payment mode based on face recognition is simply used, so that the great risk is caused.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a multidimensional identity authentication system based on face recognition comprises a collection device and a server, wherein the output end of the server is connected with the input end of an authentication unit, the server is in bidirectional connection with a database, the collection device comprises a display screen, a camera and a microphone, the output end of the camera is connected with the input end of the server, the input end of the display screen is connected with the output end of the server, the output end of the microphone is connected with the input end of the server, the server comprises a central control center, the input end of the central control center is connected with the output end of a face three-dimensional recognition unit, the input end of the central control center is connected with the output end of a voiceprint recognition unit, the input end of the central control center is connected with the output end of a user living body characteristic detection module, and the output end of the central control center is connected with the input end of a random code display module, the input end of the central control center is connected with the output end of the conversion module, the input end of the central control center is connected with the output end of the voice acquisition module, and the output end of the central control center is connected with the input end of the specific gesture setting module.
Preferably, the face three-dimensional recognition unit comprises a three-dimensional multi-angle recognition module, and an output end of the three-dimensional multi-angle recognition module is connected with an input end of the sample acquisition module.
Preferably, the voiceprint recognition unit comprises a voiceprint map display module, and the voiceprint map display module mainly displays tone quality, duration, intensity and pitch.
Preferably, the user living body characteristic detection module comprises a mouth shape recognition module, a mouth opening recognition module and a face recognition module.
Preferably, the input end of the conversion module is connected with the output end of the camera, the input end of the voice acquisition module is connected with the output end of the microphone, the output end of the specific gesture setting module is connected with the input end of the display screen, and the output end of the random code display module is connected with the input end of the display screen.
Preferably, the display screen comprises a face information recognition display module, a gesture information recognition display module and a reading information recognition display module.
Preferably, the authentication unit comprises a verification module, an input end of the verification module is respectively connected with output ends of the face comparison module, the voice comparison module, the gesture comparison module and the voiceprint comparison module, and an output end of the verification module is connected with an input end of the authentication result output module.
The invention also discloses a multi-dimensional identity authentication method based on face recognition, which specifically comprises the following steps:
s1, firstly, acquiring and storing face information through a face three-dimensional identification unit, identifying a face through a three-dimensional multi-angle identification module, then acquiring a sample through a sample acquisition module, and storing the acquired information in a database;
s2, when identity authentication is carried out, a camera is used for shooting a face, the face can be placed in an identification frame in a face information identification display module on a display screen, the acquired face information is transmitted to a central control center through conversion of a conversion module and is compared with information in a database, the central control center displays a random code in the display screen by using a random code display module, an authenticatee is required to read aloud, the comparison is carried out through a reading aloud information identification display module on the display screen, a microphone in acquisition equipment uploads voice read by a user and analyzes corresponding numbers, and then the voice is compared with information sent by a service terminal;
s3, simultaneously, the voice acquisition module acquires the voice uploaded by the microphone, the voice quality, the voice length, the voice intensity and the voice pitch are recognized through the voiceprint recognition unit, the voice presents different voiceprint characteristics on a voiceprint map, according to the voiceprint characteristic parameters, the voice can be distinguished, the voice of the same person can be identified, a specific gesture is added in the process of face recognition through the specific gesture setting module, and the comparison is carried out through the gesture information recognition display module on the display screen, so that whether the currently authenticated information is effective or not is confirmed;
and S4, detecting the living body characteristics of the user through mouth shape recognition, mouth opening recognition and face recognition, verifying the acquired data in a verification module through a face comparison module, a voice comparison module, a gesture comparison module and a voiceprint comparison module, and outputting a verification result through an authentication result output module.
(III) advantageous effects
The invention provides a multi-dimensional identity authentication system and method based on face recognition. Compared with the prior art, the method has the following beneficial effects:
(1) the multidimensional identity authentication system and the multidimensional identity authentication method based on face recognition are characterized in that the output end of a server is connected with the input end of an authentication unit, the server is bidirectionally connected with a database, a collection device comprises a display screen, a camera and a microphone, the output end of the camera is connected with the input end of the server, the input end of the display screen is connected with the output end of the server, the output end of the microphone is connected with the input end of the server, the server comprises a central control center, the input end of the central control center is connected with the output end of a face three-dimensional recognition unit, the input end of the central control center is connected with the output end of a voiceprint recognition unit, the input end of the central control center is connected with the output end of a user living body characteristic detection module, the output end of the central control center is connected with the input end of a random code display module, and the input end of the, the input end of the central control center is connected with the output end of the voice acquisition module, the output end of the central control center is connected with the input end of the specific gesture setting module, and the human face three-dimensional recognition, the voiceprint recognition, the gesture recognition and the reading recognition are adopted.
(2) The system and the method for identifying the multi-dimension identity based on the face recognition comprise a three-dimensional multi-angle recognition module through a face three-dimensional recognition unit, the output end of the three-dimensional multi-angle recognition module is connected with the input end of a sample collection module, the voiceprint recognition unit comprises a voiceprint map display module, the voiceprint map display module mainly displays tone quality, tone length, tone intensity and tone pitch, the user living body characteristic detection module comprises a mouth shape recognition module, a mouth opening recognition module and a face recognition module, the mouth shape and mouth opening recognition in the face three-dimensional recognition and reading processes can determine the living body of a user, and the reading code in the gesture recognition and reading recognition can determine the validity and non-copying performance of current information.
(3) The multi-dimensional identity authentication system and method based on face recognition comprise a face information recognition display module, a gesture information recognition display module and a reading information recognition display module through a display screen, an authentication unit comprises a verification module, the input end of the verification module is respectively connected with the output ends of the face comparison module, the voice comparison module, the gesture comparison module and the voiceprint comparison module, the output end of the verification module is connected with the input end of an authentication result output module, authentication of identities can be completed in an intelligent recognition mode, and more intelligent functions are improved.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the server according to the present invention;
FIG. 3 is a schematic block diagram of the structure of the display screen of the present invention;
fig. 4 is a schematic block diagram of the structure of the authentication unit of the present invention.
In the figure: 1-acquisition equipment, 11-display screen, 111-face information identification display module, 112-gesture information identification display module, 113-reading information identification display module, 12-camera, 13-microphone, 2-server, 21-central control center, 22-face three-dimensional identification unit, 221-three-dimensional multi-angle identification module, 222-sample acquisition module, 23-voiceprint identification unit, 231-voiceprint atlas display module, 24-user living body characteristic detection module, 241-mouth shape identification module, 242-mouth opening identification module, 243-face identification module, 25-random code display module, 26-conversion module, 27-voice acquisition module, 28-specific gesture setting module, 3-authentication unit, etc, 31-a verification module, 32-a face comparison module, 33-a voice comparison module, 34-a gesture comparison module, 35-a voiceprint comparison module, 36-an authentication result output module and 4-a database.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
Referring to fig. 1-4, an embodiment of the present invention provides a technical solution: a multidimensional identity authentication system based on face recognition comprises a collection device 1 and a server 2, wherein the output end of the server 2 is connected with the input end of an authentication unit 3, the server 2 is in bidirectional connection with a database 4, the collection device 1 comprises a display screen 11, a camera 12 and a microphone 13, the output end of the camera 12 is connected with the input end of the server 2, the input end of the display screen 11 is connected with the output end of the server 2, the output end of the microphone 13 is connected with the input end of the server 2, the server 2 comprises a central control center 21, the input end of the central control center 21 is connected with the output end of a face three-dimensional recognition unit 22, the input end of the central control center 21 is connected with the output end of a voiceprint recognition unit 23, the input end of the central control center 21 is connected with the output end of a user living body characteristic detection module 24, and the output end of the central control center 21 is connected with the input end of a random code display, the input end of the central control center 21 is connected with the output end of the conversion module 26, the input end of the central control center 21 is connected with the output end of the voice acquisition module 27, the output end of the central control center 21 is connected with the input end of the specific gesture setting module 28, and a specific gesture is added in the process of carrying out face recognition to confirm whether the currently authenticated information is valid.
In the invention, the face three-dimensional recognition unit 22 comprises a three-dimensional multi-angle recognition module 221, the output end of the three-dimensional multi-angle recognition module 221 is connected with the input end of a sample acquisition module 222, and the three-dimensional multi-angle recognition sample acquisition is carried out on a recognition object on the basis of the existing face recognition so as to resist the risk of a plane face.
In the present invention, the voiceprint recognition unit 23 includes a voiceprint display module 231, the voiceprint display module 231 mainly displays tone quality, duration, intensity and pitch, and because of the particularity of voice, the vocal organs are divided into supraglottic system, laryngeal system and subglottic system, each person has its own set of vocal organs, their forms and structures are different, each pronunciation requires the cooperation and common movement of numerous vocal organs, which determines the physical attributes of voice (also called four elements of voice): tone quality, duration, intensity, pitch, these physical quantities people are different, therefore pronunciation present different vocal print characteristics on the vocal print atlas, according to these vocal print characteristic parameters, we can not only distinguish the speech sound, but also can identify the speech sound of the same person.
In the present invention, the user living body characteristic detection module 24 includes a mouth shape recognition module 241, an open mouth recognition module 242, and a face recognition module 243.
In the present invention, the input end of the conversion module 26 is connected to the output end of the camera 12, the input end of the voice acquisition module 27 is connected to the output end of the microphone 13, the output end of the specific gesture setting module 28 is connected to the input end of the display screen 11, and the output end of the random code display module 25 is connected to the input end of the display screen 11.
In the invention, the display screen 11 comprises a face information identification display module 111, a gesture information identification display module 112 and a reading information identification display module 113, in the process of face identification, some random numbers are displayed by using acquisition equipment, the authenticated person is required to read aloud, the acquisition equipment uploads the voice read by a user and analyzes the corresponding numbers, then the voice is compared with the information sent by the server, and the user can also detect the activity of the user in the reading process.
In the present invention, the authentication unit 3 includes a verification module 31, an input end of the verification module 31 is respectively connected to output ends of the face comparison module 32, the voice comparison module 33, the gesture comparison module 34 and the voice print comparison module 35, and an output end of the verification module 31 is connected to an input end of the authentication result output module 36.
The invention also discloses a multi-dimensional identity authentication method based on face recognition, which specifically comprises the following steps:
s1, firstly, the face information is collected and stored through the face three-dimensional recognition unit 22, the face is recognized through the three-dimensional multi-angle recognition module 221, then, the sample is collected through the sample collection module 222, and the collected information is stored in the database 4;
s2, when identity authentication is carried out, a face is shot through the camera 12, the face can be placed in an identification frame in the face information identification display module 111 on the display screen 11, the collected face information is transmitted to the central control center 21 through conversion of the conversion module 26 and is compared with information in the database 4, the central control center 21 displays a random code in the display screen 11 through the random code display module 25, the authenticated person is required to read aloud, comparison is carried out through the aloud information identification display module 113 on the display screen 11, the voice read by the user is uploaded through the microphone 13 in the collection equipment 1, corresponding numbers are analyzed, and then comparison is carried out with information sent by the server 2;
s3, the voice collecting module 27 collects the voice uploaded by the microphone 13, the voiceprint recognition unit 23 recognizes the voice quality, voice length, voice intensity and voice pitch, the voice presents different voiceprint characteristics on the voiceprint map, according to the voiceprint characteristic parameters, we can not only distinguish the voice, but also identify the voice of the same person, add specific gesture in the process of face recognition through the specific gesture setting module 28, compare through the gesture information recognition display module 112 on the display screen 11, to confirm whether the currently authenticated information is valid;
s4, the mouth shape recognition, mouth opening recognition and face recognition are used for detecting the living body characteristics of the user, the face comparison module 32, the voice comparison module 33, the gesture comparison module 34 and the voiceprint comparison module 35 are used for verifying the collected data in the verification module 31, and then the verification result is output through the authentication result output module 36.
And those not described in detail in this specification are well within the skill of those in the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. The utility model provides a based on face identification multidimension degree authentication system, includes collection equipment (1) and server (2), the output and the input of authentication unit (3) of server (2) are connected to server (2) and database (4) realize both way junction, its characterized in that: the acquisition equipment (1) comprises a display screen (11), a camera (12) and a microphone (13), wherein the output end of the camera (12) is connected with the input end of a service end (2), the input end of the display screen (11) is connected with the output end of the service end (2), the output end of the microphone (13) is connected with the input end of the service end (2), the service end (2) comprises a central control center (21), the input end of the central control center (21) is connected with the output end of a human face three-dimensional recognition unit (22), the input end of the central control center (21) is connected with the output end of a voiceprint recognition unit (23), the input end of the central control center (21) is connected with the output end of a user living body characteristic detection module (24), and the output end of the central control center (21) is connected with the input end of a random code display module (25), the input end of the central control center (21) is connected with the output end of the conversion module (26), the input end of the central control center (21) is connected with the output end of the voice acquisition module (27), and the output end of the central control center (21) is connected with the input end of the specific gesture setting module (28).
2. The multi-dimensional identity authentication system based on face recognition according to claim 1, wherein: the human face three-dimensional recognition unit (22) comprises a three-dimensional multi-angle recognition module (221), and the output end of the three-dimensional multi-angle recognition module (221) is connected with the input end of the sample acquisition module (222).
3. The multi-dimensional identity authentication system based on face recognition according to claim 1, wherein: the voiceprint recognition unit (23) comprises a voiceprint map display module (231), and the voiceprint map display module (231) mainly displays tone quality, duration, intensity and pitch.
4. The multi-dimensional identity authentication system based on face recognition according to claim 1, wherein: the user living body characteristic detection module (24) comprises a mouth shape recognition module (241), a mouth opening recognition module (242) and a human face recognition module (243).
5. The multi-dimensional identity authentication system based on face recognition according to claim 1, wherein: the input end of the conversion module (26) is connected with the output end of the camera (12), the input end of the voice acquisition module (27) is connected with the output end of the microphone (13), the output end of the specific gesture setting module (28) is connected with the input end of the display screen (11), and the output end of the random code display module (25) is connected with the input end of the display screen (11).
6. The multi-dimensional identity authentication system based on face recognition according to claim 1, wherein: the display screen (11) comprises a face information recognition display module (111), a gesture information recognition display module (112) and a reading information recognition display module (113).
7. The multi-dimensional identity authentication system based on face recognition according to claim 1, wherein: the authentication unit (3) comprises a verification module (31), the input end of the verification module (31) is respectively connected with the output ends of the face comparison module (32), the voice comparison module (33), the gesture comparison module (34) and the voiceprint comparison module (35), and the output end of the verification module (31) is connected with the input end of the authentication result output module (36).
8. A multidimensional identity authentication method based on face recognition is characterized in that: the method specifically comprises the following steps:
s1, firstly, the face information is collected and stored through the face three-dimensional recognition unit (22), the face is recognized through the three-dimensional multi-angle recognition module (221), then, the sample is collected through the sample collection module (222), and the collected information is stored in the database (4);
s2, when identity authentication is carried out, a camera (12) is used for shooting a face, the face can be placed in an identification frame in a face information identification display module (111) on a display screen (11), the acquired face information is transmitted to a central control center (21) through conversion of a conversion module (26) and is compared with information in a database (4), the central control center (21) displays a random code in the display screen (11) through a random code display module (25) and requires an authenticated person to read aloud, comparison is carried out through a reading information identification display module (113) on the display screen (11), a microphone (13) in the acquisition equipment (1) uploads voice read by a user and analyzes corresponding numbers, and then comparison is carried out with information sent by a service terminal (2);
s3, the voice collection module (27) collects the voice uploaded by the microphone (13), the voice quality, the voice length, the voice intensity and the voice height are identified through the voiceprint identification unit (23), the voice presents different voiceprint characteristics on the voiceprint atlas, according to the voiceprint characteristic parameters, the voice can be distinguished, the voice of the same person can be identified, the specific gesture is added in the process of face identification through the specific gesture setting module (28), and the comparison is carried out through the gesture information identification display module (112) on the display screen (11) to confirm whether the currently authenticated information is valid or not;
s4, the mouth shape recognition, mouth opening recognition and face recognition are used for detecting the living body characteristics of the user, the face comparison module (32), the voice comparison module (33), the gesture comparison module (34) and the voice print comparison module (35) are used for verifying the collected data in the verification module (31), and then the verification result is output through the authentication result output module (36).
CN201911137063.0A 2019-11-19 2019-11-19 Multi-dimensional identity authentication system and method based on face recognition Withdrawn CN111159676A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112818733A (en) * 2020-08-24 2021-05-18 腾讯科技(深圳)有限公司 Information processing method, device, storage medium and terminal

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112818733A (en) * 2020-08-24 2021-05-18 腾讯科技(深圳)有限公司 Information processing method, device, storage medium and terminal
CN112818733B (en) * 2020-08-24 2024-01-05 腾讯科技(深圳)有限公司 Information processing method, device, storage medium and terminal

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Application publication date: 20200515