CN105117624A - Recognition system and method of user system based on face recognition - Google Patents
Recognition system and method of user system based on face recognition Download PDFInfo
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- CN105117624A CN105117624A CN201510296039.7A CN201510296039A CN105117624A CN 105117624 A CN105117624 A CN 105117624A CN 201510296039 A CN201510296039 A CN 201510296039A CN 105117624 A CN105117624 A CN 105117624A
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2141—Access rights, e.g. capability lists, access control lists, access tables, access matrices
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Abstract
The invention discloses a recognition system and method of a user system based on face recognition. The recognition system comprises a cloud server and a plurality of terminal devices connected with a network of the cloud server. The terminal devices includes a client used for providing man-machine resource interaction between the terminal devices and a user, an image acquisition module used for acquiring optical images in a view area in real time, an image preprocessing module used for preprocessing the optical images acquired by the image acquisition module to extract facial feature information, and a face recognition module used for sending the facial feature information to the cloud server, receiving operation results of the cloud server and returning to the client. The recognition system and method of the user system based on face recognition can simplify operations of the user system, are hard to break, convenient and safe.
Description
Technical field
The invention belongs to identification communication system technical field, be specifically related to a kind of user's system recognition system based on recognition of face and method.
Background technology
Present social development is more and more faster, enterprise gets more and more, there is oneself user's system in overwhelming majority enterprise, such as inventory system, property system, client management system and business development system etc., all the combining based on phonetic, numeral and special symbol etc. of system use of these user's systems identifies user, register, log in, Modify password and give the operation such as password complexity very for change, be also easily cracked.Each independent system needs to arrange login password, not only inconvenient, and easily obscures, and causes often needing Modify password or giving password for change, loses time, reduce work efficiency.
Summary of the invention
The present invention is directed to above-mentioned problems of the prior art, a kind of user's system recognition system based on recognition of face and method are provided, simplify the operation of user's system, be also not easy to be cracked.
To achieve these goals, the invention provides a kind of user's system recognition system based on recognition of face, concrete technical scheme is:
Comprise cloud server, and the some terminal devices be connected with cloud server network;
Described terminal device comprises:
Client, mutual for resource man-machine between terminal device and user;
Image capture module, for the optical imagery in Real-time Collection viewing areas;
Image pre-processing module, carries out pre-service for the optical imagery collected image capture module, extracts face characteristic information;
Face recognition module, for being sent to cloud server, receiving the operating result of cloud server and be back to client by face characteristic information;
Described cloud server comprises:
Face information database, for storing user's face characteristic information;
Face information processing module, for receiving the face characteristic information that face recognition module sends, according to the user operation request type that client receives, in face information data base querying or renewal face characteristic information, and operating result is back to face recognition module.
Preferably, described client comprises registering unit, logs in unit and updating block.
Preferably, described client is connected by LAN (Local Area Network) or internet with between cloud server.
Preferably, described terminal device is mobile terminal device.
The present invention also provides a kind of user's system recognition methods based on recognition of face, and concrete technical scheme is: comprise the following steps:
Client receives the operation requests information of user;
Optical imagery in image capture module Real-time Collection viewing areas;
Image pre-processing module carries out pre-service to the optical imagery that image capture module collects, and extracts face characteristic information;
The face characteristic information that image pre-processing module extracts is sent to cloud server by face recognition module;
The face characteristic information that the face information processing module of cloud server receives, according to the user operation request type that client receives, at face information data base querying or upgrade face characteristic information, and is back to face recognition module by operating result;
Face recognition module receives the operating result of cloud server and operating result is back to client.
Further, the operation requests information of user comprises registered user, login user and renewal user profile;
The operation requests information that client receives user is registered user, the face characteristic information received is inquired about by face information processing module in face information database, if there is identical face characteristic information, then returns this user of client by face recognition module and register; If there is no identical face characteristic information, then in face information database, add the face characteristic information of this user, and return client registers success by face recognition module;
The operation requests information that client receives user is login user, the face characteristic information received is inquired about by face information processing module in face information database, if there is identical face characteristic information, then return client logs success by face recognition module; If there is no identical face characteristic information, then return client logs failure by face recognition module, and reminding user is the need of registration;
Client receives the operation requests information of user for upgrading user profile, login user, face information processing module by the face characteristic information that receives at face information database update.
Further, if the operation requests information that client receives user is registered user, after succeeding in registration, send subscriber phone number and bind;
When upgrading user profile, user directly carries out user profile renewal by the phone number of binding.
Further, image pre-processing module carries out pre-service to the optical imagery that image capture module collects, and is specially denoising, enhancing, segmentation, feature extraction operation, and detects, orients facial image, finally extracts face characteristic information.
Owing to have employed technique scheme, the invention has the beneficial effects as follows:
A kind of user's system recognition system based on recognition of face of the present invention and method, because everyone people's face has uniqueness mutually, and face is nature and general identification feature the most in human vision, so convenient with safety based on the authentication system of face recognition technology; Adopt user's system of recognition of face, only need gather user's face characteristic information by image capture module during login, unanimously get final product login system, operate simpler, do not need memory, can not forget yet, eliminate and forget Password and need to give for change the complicated processes of password.
Accompanying drawing explanation
Fig. 1 is user's system recognition system structured flowchart one of the present invention.
Fig. 2 is user's system recognition system structured flowchart two of the present invention.
Fig. 3 is user's system recognition methods process flow diagram of the present invention.
Mark in figure:
100-cloud server, 101-face information database, 102-face information processing module, 200-terminal device, 201-client, 202-image capture module, 203-image pre-processing module, 204-face recognition module.
Embodiment
With reference to Fig. 1, one of the present invention is based on recognition of face user system recognition system, comprise cloud server 100, and the some terminal devices 200 to be connected with cloud server 100 network, terminal device 200 is for having the mobile terminal of camera function or having the fixed terminal equipment 200 of camera function, and the mobile terminal device 200 with camera function can be mobile phone or notebook computer etc.The quantity of terminal device 200 can be arranged according to actual needs.Be connected by LAN (Local Area Network) between client 201 with cloud server 100 and transmit, also can connect transmission by internet.
Client 201, image capture module 202, image pre-processing module 203 and face recognition module 204 is comprised with reference to the terminal device 200 described in Fig. 2, client 201 is mutual for resource man-machine between terminal device 200 and user, comprise registering unit, log in unit and updating block, user realizes the function of registered user, login user and renewal user profile by client 201.Image capture module 202 is for the optical imagery in Real-time Collection viewing areas, and image pre-processing module 203 carries out pre-service for the optical imagery collected image capture module 202, comprise denoising, enhancing, segmentation, feature extraction operation, and detect, orient facial image, finally extract face characteristic information.Face recognition module 204 is for being sent to cloud server 100, receiving the operating result of cloud server 100 and be back to client 201 by face characteristic information.
Described cloud server 100 comprises face information database 101 and face information processing module 102, face information database 101, for storing user's face characteristic information, and face information processing module 102, for receiving the face characteristic information that face recognition module 204 sends, according to the user operation request type that client 201 receives, inquire about at face information database 101 or upgrade face characteristic information, and operating result is back to face recognition module 204, the user operation request that such as client 201 receives is registered user, then the face characteristic information received is inquired about by face information processing module 102 in face information database 101, if any identical, then illustrate that this user is registered, and this operating result is back to client 201 by face recognition module 204, point out this user registered, if any difference, then by this face characteristic information stored in face information database 101, by face recognition module 204, the operating result succeeded in registration is back to client 201, prompting is succeeded in registration simultaneously.
With reference to Fig. 3, the present invention also provides a kind of user's system recognition methods based on recognition of face, and concrete technical scheme is: comprise the following steps:
S1, client 201 receives the operation requests information of user, and the operation requests information of user comprises registered user, login user and renewal user profile;
S2, the optical imagery in image capture module 202 Real-time Collection viewing areas;
S3, the optical imagery that image pre-processing module 203 pairs of image capture modules 202 collect carries out denoising, enhancing, segmentation, feature extraction operation, and detects, orients facial image, finally extracts face characteristic information;
S4, the face characteristic information that image pre-processing module 203 extracts is sent to cloud server 100 by face recognition module 204;
S5, the face characteristic information that the face information processing module 102 of cloud server 100 receives, according to the user operation request type that client 201 receives, inquire about at face information database 101 or upgrade face characteristic information, and operating result is back to face recognition module 204;
S6, face recognition module 204 receives the operating result of cloud server 100 and operating result is back to client 201.
The method of user's registration:
Client 201 receives the operation requests information of user for registered user, optical imagery in image capture module 202 Real-time Collection viewing areas, the optical imagery that image pre-processing module 203 pairs of image capture modules 202 collect carries out denoising, enhancing, segmentation, feature extraction operation, and detect, orient facial image, finally extract face characteristic information; The face characteristic information that image pre-processing module 203 extracts is sent to cloud server 100 by face recognition module 204; The face characteristic information received is inquired about by the face information processing module 102 of cloud server 100 in face information database 101, if there is identical face characteristic information, then returns this user of client 201 by face recognition module 204 and registers; If there is no identical face characteristic information, then in face information database 101, add the face characteristic information of this user, and return client 201 by face recognition module 204 and succeed in registration.
The method that user logs in:
The operation requests information that client 201 receives user is login user, optical imagery in image capture module 202 Real-time Collection viewing areas, the optical imagery that image pre-processing module 203 pairs of image capture modules 202 collect carries out denoising, enhancing, segmentation, feature extraction operation, and detect, orient facial image, finally extract face characteristic information; The face characteristic information that image pre-processing module 203 extracts is sent to cloud server 100 by face recognition module 204; The face characteristic information received is inquired about by the face information processing module 102 of cloud server 100 in face information database 101, if there is identical face characteristic information, then returns client 201 by face recognition module 204 and logins successfully; If there is no identical face characteristic information, then return client 201 login failure by face recognition module 204, and reminding user is the need of registration; After succeeding in registration, send subscriber phone number and bind.
Upgrade the method for user profile:
If the large change of user's appearance causes user not log in, or need amendment user to bind phone number, at this moment need to upgrade the information of user.As user logs in, directly can upgrade user data, as upgraded face information, then the face characteristic information received upgrades at face information database 101 by face information processing module 102.Also can upgrade after logging in as binding mobile phone need be changed.As user does not log in, also can carry out renewal user data according to the phone number bound before user, when needing to upgrade user data, need Resurvey user face information to send to cloud server 100.
Claims (8)
1., based on user's system recognition system of recognition of face, it is characterized in that, comprise cloud server, and the some terminal devices be connected with cloud server network;
Described terminal device comprises:
Client, mutual for resource man-machine between terminal device and user;
Image capture module, for the optical imagery in Real-time Collection viewing areas;
Image pre-processing module, carries out pre-service for the optical imagery collected image capture module, extracts face characteristic information;
Face recognition module, for being sent to cloud server, receiving the operating result of cloud server and be back to client by face characteristic information;
Described cloud server comprises:
Face information database, for storing user's face characteristic information;
Face information processing module, for receiving the face characteristic information that face recognition module sends, according to the user operation request type that client receives, in face information data base querying or renewal face characteristic information, and operating result is back to face recognition module.
2. user's system recognition system according to claim 1, is characterized in that, described client comprises registering unit, logs in unit and updating block.
3. user's system recognition system according to claim 1, it is characterized in that, described client is connected by LAN (Local Area Network) or internet with between cloud server.
4. user's system recognition system according to claim 1, is characterized in that, described terminal device is mobile terminal device.
5., based on user's system recognition methods of recognition of face, it is characterized in that, comprise the following steps:
Client receives the operation requests information of user;
Optical imagery in image capture module Real-time Collection viewing areas;
Image pre-processing module carries out pre-service to the optical imagery that image capture module collects, and extracts face characteristic information;
The face characteristic information that image pre-processing module extracts is sent to cloud server by face recognition module;
The face characteristic information that the face information processing module of cloud server receives, according to the user operation request type that client receives, at face information data base querying or upgrade face characteristic information, and is back to face recognition module by operating result;
Face recognition module receives the operating result of cloud server and operating result is back to client.
6. user's system according to claim 5 recognition methods, is characterized in that, the operation requests information of user comprises registered user, login user and renewal user profile;
The operation requests information that client receives user is registered user, the face characteristic information received is inquired about by face information processing module in face information database, if there is identical face characteristic information, then returns this user of client by face recognition module and register; If there is no identical face characteristic information, then in face information database, add the face characteristic information of this user, and return client registers success by face recognition module;
The operation requests information that client receives user is login user, the face characteristic information received is inquired about by face information processing module in face information database, if there is identical face characteristic information, then return client logs success by face recognition module; If there is no identical face characteristic information, then return client logs failure by face recognition module, and reminding user is the need of registration;
Client receives the operation requests information of user for upgrading user profile, login user, face information processing module by the face characteristic information that receives at face information database update.
7. user's system according to claim 6 recognition methods, is characterized in that, if the operation requests information that client receives user is registered user, after succeeding in registration, sends subscriber phone number and binds;
When upgrading user profile, user directly carries out user profile renewal by the phone number of binding.
8. user's system according to claim 5 recognition methods, it is characterized in that, image pre-processing module carries out pre-service to the optical imagery that image capture module collects, be specially denoising, enhancing, segmentation, feature extraction operation, and detect, orient facial image, finally extract face characteristic information.
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| CN105590047A (en) * | 2015-12-15 | 2016-05-18 | 重庆凯泽科技有限公司 | Face identification based login system and login method |
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| CN106358145A (en) * | 2016-09-22 | 2017-01-25 | 中国联合网络通信集团有限公司 | Safe replacement method of reserved mobile phone number and operator background system |
| CN106778003A (en) * | 2016-12-26 | 2017-05-31 | 佛山市幻云科技有限公司 | Telemedicine method and server |
| CN106790493A (en) * | 2016-12-14 | 2017-05-31 | 深圳云天励飞技术有限公司 | A kind of face verification system and method |
| CN106897695A (en) * | 2017-02-24 | 2017-06-27 | 上海斐讯数据通信技术有限公司 | A kind of image recognizing and processing equipment, system and method |
| CN107247941A (en) * | 2017-06-22 | 2017-10-13 | 易容智能科技（苏州）有限公司 | The sampling of accurate face and recognition methods of a kind of high hardware resiliency |
| CN107491652A (en) * | 2017-08-30 | 2017-12-19 | 广州云从信息科技有限公司 | A kind of face off-note data analysing method based on recognition of face |
| CN107766796A (en) * | 2017-09-25 | 2018-03-06 | 郑州云海信息技术有限公司 | A kind of facial-recognition security systems and method based on cloud computing |
| CN107992739A (en) * | 2017-11-30 | 2018-05-04 | 北京旷视科技有限公司 | User authentication method, apparatus and system |
| CN109063700A (en) * | 2018-10-30 | 2018-12-21 | 深圳市海能通信股份有限公司 | One kind being based on LBP operation big data searching platform |
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| CN112613975A (en) * | 2020-12-16 | 2021-04-06 | 中国农业银行股份有限公司顺德分行 | Banking business follow-up method and system based on face recognition |
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|---|---|---|---|---|
| CN105590047A (en) * | 2015-12-15 | 2016-05-18 | 重庆凯泽科技有限公司 | Face identification based login system and login method |
| CN105760766B (en) * | 2016-02-17 | 2018-10-23 | 青岛海信移动通信技术股份有限公司 | A kind of image guard method and device based on recognition of face |
| CN105760766A (en) * | 2016-02-17 | 2016-07-13 | 青岛海信移动通信技术股份有限公司 | Image protection method and device based on face recognition |
| US10248841B2 (en) | 2016-02-17 | 2019-04-02 | Hisense Mobile Communications Technology Co., Ltd. | Method of protecting an image based on face recognition, and smart terminal |
| CN105938552A (en) * | 2016-06-29 | 2016-09-14 | 北京旷视科技有限公司 | Face recognition method capable of realizing base image automatic update and face recognition device |
| CN106358145A (en) * | 2016-09-22 | 2017-01-25 | 中国联合网络通信集团有限公司 | Safe replacement method of reserved mobile phone number and operator background system |
| CN106358145B (en) * | 2016-09-22 | 2020-02-07 | 中国联合网络通信集团有限公司 | Safe replacement method of reserved mobile phone number and background system of operator |
| CN106790493A (en) * | 2016-12-14 | 2017-05-31 | 深圳云天励飞技术有限公司 | A kind of face verification system and method |
| CN106790493B (en) * | 2016-12-14 | 2018-04-06 | 深圳云天励飞技术有限公司 | A kind of face verification system and method |
| CN106778003A (en) * | 2016-12-26 | 2017-05-31 | 佛山市幻云科技有限公司 | Telemedicine method and server |
| CN106897695A (en) * | 2017-02-24 | 2017-06-27 | 上海斐讯数据通信技术有限公司 | A kind of image recognizing and processing equipment, system and method |
| CN107247941A (en) * | 2017-06-22 | 2017-10-13 | 易容智能科技（苏州）有限公司 | The sampling of accurate face and recognition methods of a kind of high hardware resiliency |
| CN107491652A (en) * | 2017-08-30 | 2017-12-19 | 广州云从信息科技有限公司 | A kind of face off-note data analysing method based on recognition of face |
| CN107766796A (en) * | 2017-09-25 | 2018-03-06 | 郑州云海信息技术有限公司 | A kind of facial-recognition security systems and method based on cloud computing |
| CN107992739A (en) * | 2017-11-30 | 2018-05-04 | 北京旷视科技有限公司 | User authentication method, apparatus and system |
| CN109165624A (en) * | 2018-09-10 | 2019-01-08 | 湖北众锐智能技术股份有限公司 | A kind of recognition of face analysis method based on public cloud |
| CN109063700A (en) * | 2018-10-30 | 2018-12-21 | 深圳市海能通信股份有限公司 | One kind being based on LBP operation big data searching platform |
| CN110598565A (en) * | 2019-08-16 | 2019-12-20 | 信利光电股份有限公司 | Far and near face recognition method and device and automatic door |
| CN111275583A (en) * | 2020-01-20 | 2020-06-12 | 上海大学 | Service method based on face recognition and database |
| CN111581620A (en) * | 2020-04-30 | 2020-08-25 | 新浪网技术(中国)有限公司 | User identification method and device |
| CN112613975A (en) * | 2020-12-16 | 2021-04-06 | 中国农业银行股份有限公司顺德分行 | Banking business follow-up method and system based on face recognition |
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