CN107766796A - A kind of facial-recognition security systems and method based on cloud computing - Google Patents
A kind of facial-recognition security systems and method based on cloud computing Download PDFInfo
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- CN107766796A CN107766796A CN201710876724.6A CN201710876724A CN107766796A CN 107766796 A CN107766796 A CN 107766796A CN 201710876724 A CN201710876724 A CN 201710876724A CN 107766796 A CN107766796 A CN 107766796A
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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
- 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
- G06V40/172—Classification, e.g. identification
Abstract
The invention discloses a kind of facial-recognition security systems and method based on cloud computing, system includes information acquisition unit, and local information administrative unit is sent to for gathering facial information, and by facial information;Local information administrative unit, for downloading the facial information of region, forming region database from cloud database in real time, and information in the facial information of collection and regional database is contrasted, and display comparison result on the client.The step of method includes is S1, downloads the facial information of region in real time from cloud database, is stored in regional database;S2, facial information is gathered, and facial information is sent to local information administrative unit;S3, the information in the facial information and regional database of collection is contrasted, and display comparison result.The present invention improves the efficiency and accuracy rate of face recognition.
Description
Technical field
The present invention relates to field of cloud computer technology, specifically a kind of facial-recognition security systems and side based on cloud computing
Method.
Background technology
Facial-recognition security systems are an emerging biological identification technologies using face recognition technology as core, are the current worlds
The high-quality precision and sophisticated technology of sciemtifec and technical sphere tackling key problem.Face because with it is not reproducible, collection is convenient, do not need the deliberately cooperation of one be shooted and
It is well received.Facial-recognition security systems have in fields such as elimination ballot fraud, withdrawal authentication, computer security widely should
With.
Facial recognition software can be included into a major class technology of entitled bio-identification.Biological identification technology is come using biological information
Verify identity.The theoretical foundation of bio-identification is:Everyone body includes some unique features, can use them
We and other people are distinguished.
Existing facial-recognition security systems are needed constantly to send data to remote administration terminal, and letter is carried out according to the strategy of terminal
Breath identification, the process takes a significant amount of time, it is necessary to which personnel to be verified wait for a long time, and recognition efficiency is low.
The content of the invention
It is an object of the invention to provide a kind of facial-recognition security systems and method based on cloud computing, for solving existing face
The ineffective problem of portion's identifying system.
The technical solution adopted for the present invention to solve the technical problems is:A kind of facial-recognition security systems based on cloud computing,
Including
Information acquisition unit, local information administrative unit is sent to for gathering facial information, and by facial information;
Local information administrative unit, for downloading the facial information of region, forming region from cloud database in real time
Database, and information in the facial information of collection and regional database is contrasted, and display comparison result on the client.
Further, system also includes high in the clouds information management unit, and the high in the clouds information management unit is used for local letter
The information that breath administrative unit uploads is handled, and information is classified according to user area, and issues information according to classification
To corresponding regional database;The information that the local information administrative unit uploads is believed for the face not stored in cloud database
Breath.
Further, the camera, characteristic collector and validity feature that described information collecting unit includes being sequentially connected are compiled
Code device;The camera is used to catch face information, and the characteristic collector is used for the characteristic information for obtaining and recording face, had
Effect feature coding device is analyzed the facial characteristic information, validity feature information is obtained, by the validity feature information
It is converted into a code to be verified.
Further, the local information administrative unit includes client and regional database, and the regional database is used
Facial information in storage region;Client is used to obtain the code to be verified, judges face letter corresponding to code to be verified
Whether breath is legal, and shows judged result.
Further, the high in the clouds information management unit includes cloud database, cloud server and area monitoring service
Device;The cloud server is used to receive the facial information not stored, by each facial information one identification code of generation, and according to
User area is classified to facial information, and classification information is preserved to cloud database;The cloud database according to classification,
The information of different zones and corresponding identification code are stored under different directories;The area monitoring server is used for cloud service
The sort operation of device is monitored and verified.
Embodiments of the invention also disclose a kind of face recognition method based on cloud computing, comprise the following steps:
S1, download the facial information of region in real time from cloud database, be stored in regional database;
S2, facial information is gathered, and facial information is sent to local information administrative unit;
S3, the information in the facial information and regional database of collection is contrasted, and display comparison result.
Further, it is further comprising the steps of before step S1:
The facial information not stored in collection cloud database, high in the clouds message tube is uploaded to by local information administrative unit
Manage unit;
High in the clouds information management unit carries out classification processing to the facial information not stored;
Classification information is issued to local information administrative unit.
Further, step S2 specific implementation process is:
Face information is caught by camera, and the characteristic information of face is obtained, recorded by characteristic collector;
Validity feature encoder extracts validity feature information from the face feature information, by the validity feature information
It is converted into a code to be verified.
Further, step S3 specific implementation process is:
Code to be verified is obtained, code to be verified and the identification code in regional database are contrasted, judge code to be verified pair
Whether the facial information answered is legal, and shows judged result.
Further, the high in the clouds information management unit carries out the specific of processing of classifying to the facial information not stored
Process is:
Extraction does not store the validity feature information of facial information;
The validity feature information is converted into an identification code;
Classify according to user area to not storing facial information and corresponding identification code.
The effect provided in the content of the invention is only the effect of embodiment, rather than whole effects that invention is all, above-mentioned
A technical scheme in technical scheme has the following advantages that or beneficial effect:
1st, by downloading the facial information of region, forming region database, in the face of progress from cloud database in real time
When portion identifies, it need to only be contrasted with the information in regional database, you can know whether the facial information collected is legal, keeps away
Exempt from directly to contrast with cloud database, save the time with high in the clouds information management unit data transfer, improve the effect of face recognition
Rate.
2nd, in the new facial information of typing, the facial information of acquisition is directly uploaded to high in the clouds information management unit, profit
With the quick data-handling capacity of cloud database, facial information is subjected to classification processing according to corresponding region, improves face letter
The data processing speed of breath, improve operating efficiency.
3rd, cloud server is encoded each facial information, generates unique identification code, is carrying out facial information knowledge
When other, only the code to be verified that local information administrative unit generates need to be subjected to contrast identification with identification code, you can know to be verified
The legitimacy of facial information, avoid being contrasted one by one with multiple characteristic informations, improve the efficiency and accuracy of face recognition.
4th, information management unit sets monitoring server beyond the clouds, and monitoring cloud server is protected to the processing procedure of data
Card stores the reliability for the accuracy of cloud database information, further improving system.
Brief description of the drawings
Fig. 1 is the system structure diagram of the present invention;
Fig. 2 is the schematic flow sheet of the inventive method one embodiment;
Fig. 3 is the schematic flow sheet of another embodiment of the inventive method.
Embodiment
For the technical characterstic for illustrating this programme can be understood, below by embodiment, and its accompanying drawing is combined, to this hair
It is bright to be described in detail.Following disclosure provides many different embodiments or example is used for realizing the different knots of the present invention
Structure.In order to simplify disclosure of the invention, hereinafter the part and setting of specific examples are described.In addition, the present invention can be with
Repeat reference numerals and/or letter in different examples.This repetition is that for purposes of simplicity and clarity, itself is not indicated
Relation between various embodiments are discussed and/or set.It should be noted that part illustrated in the accompanying drawings is not necessarily to scale
Draw.Present invention omits the description to known assemblies and treatment technology and process to avoid being unnecessarily limiting the present invention.
A kind of as shown in figure 1, facial-recognition security systems based on cloud computing of the present invention.System include information acquisition unit 1,
Local information administrative unit 2 and high in the clouds information management unit 3.
Information acquisition unit 1 includes camera 11, characteristic collector 12 and the validity feature encoder 13 being sequentially connected.Take the photograph
As first 1 be used for catch face information, information acquisition unit 1 is provided with multiple cameras, and each camera 1 has respective information
Capture region, personnel to be detected no matter enter which camera capture region, can be found immediately by information acquisition unit 1,
And face information is captured, while trigger characteristic collector 12 and work.Characteristic collector 12 is used for the feature for obtaining and recording face
Information, and the characteristic information of acquisition is sent to validity feature encoder 13.Validity feature encoder 13 is believed the feature of face
Breath is analyzed, and obtains validity feature information, and the coding strategy issued according to cloud server, validity feature information is changed
Into a code to be verified.
Local information administrative unit 2 includes client 21 and the regional database 22 being connected with each other.Client 21 is used to obtain
The code to be verified for taking information acquisition unit to send, and code to be verified and the identification code in regional database 22 are contrasted, show
Show comparing result;Simultaneously client by using Struts2 (Struts2 is the web application architectures based on MVC pattern, wherein
MVC is Model View Controller abbreviation, is translated into Model View Controller) download function, realize to high in the clouds data
The real-time download of storehouse information, and by data storage to regional database 22.Regional database 22 is used for the face for storing region
Portion's information.
High in the clouds information management unit 3 includes area monitoring server 31, cloud server 32 and high in the clouds data road 33, wherein
Cloud server 32 is connected with each other respectively at area monitoring server 31, cloud database 33.Cloud server 32 is used for cloud
The facial information not stored in client database 33 is handled, and each facial information is generated into an identification code, and according to user
Opposite zone portion information is classified, and classification information is preserved to cloud database 33.Cloud database 33, will not according to classification
Stored with the information in region and corresponding identification code under different directories.Area monitoring server 31 is used to divide cloud server
Generic operation is monitored and verified.Wherein cloud server 32 generates facial information the coding strategy and validity feature of identification code
The coding strategy of encoder 13 is identical.
When the newly-built local information administrative unit 2 of user or existing local information administrative unit 2 have new facial information to need
When wanting typing, in existing cloud database 33 and in the absence of the facial information, it is necessary to by facial information typing high in the clouds message tube
Manage unit 3.Need to gather facial information by information acquisition unit 1, and the facial information of collection is passed through into local information management
The client 21 of unit 2 is transmitted directly to the cloud server 32 of high in the clouds information management unit 3.
As shown in Fig. 2 a kind of one embodiment of face recognition method based on cloud computing of the present invention, the present embodiment bag
Include following steps:
S1, download the facial information of region in real time from cloud database, be stored in regional database;
S2, facial information is gathered, and facial information is sent to local information administrative unit;
S3, the information in the facial information and regional database of collection is contrasted, and display comparison result.
In step S1, using Struts2, (Struts2 is the web application architectures based on MVC pattern to client, wherein MVC
Be Model View Controller abbreviation, be translated into Model View Controller) download function, realize to cloud database
The real-time download of information, and be stored in regional database.
Step S2 specific implementation process is:Face information is caught by camera, and is obtained, remembered by characteristic collector
Record the characteristic information of face;Validity feature encoder extracts validity feature information from face feature information, and is taken according to high in the clouds
The coding strategy that business device issues, a code to be verified is converted into by validity feature information.
Step S3 specific implementation process is:Code to be verified is obtained, by the identification code in code to be verified and regional database
Contrasted, judge whether facial information corresponding to code to be verified is legal, if code to be verified is consistent with identification code, facial information
It is legal, it is otherwise illegal.The result that contrast judges is shown by client, is checked for keeper.
As shown in figure 3, a kind of another embodiment of face recognition method based on cloud computing of the present invention, the present embodiment bag
Include following steps:
S01, the facial information not stored in cloud database is gathered, being uploaded to high in the clouds by local information administrative unit believes
Cease administrative unit;
S02, high in the clouds information management unit carry out classification processing to the facial information not stored;
S03, classification information is issued to local information administrative unit;
S1, download the facial information of region, forming region database in real time from cloud database;
S2, facial information is gathered, and facial information is sent to local information administrative unit;
S3, the information in the facial information and regional database of collection is contrasted, and display comparison result.
The present embodiment adds the Information acquisition of high in the clouds information management unit on the basis of above-described embodiment
Process:Step S01~S03.
In step S01, when the newly-built local information administrative unit of user or existing local information administrative unit have new face
When portion's information needs typing, in existing cloud database and in the absence of the facial information, it is necessary to by facial information typing high in the clouds
Information management unit.Need to gather facial information by information acquisition unit, and the facial information of collection is passed through into local information
The client of administrative unit is transmitted directly to the cloud server of high in the clouds information management unit.
In step S02, the detailed process that high in the clouds information management unit carries out classification processing to the facial information not stored is:
Extraction does not store the validity feature information of facial information;Validity feature information is converted into an identification code;According to user area
Classify to not storing facial information and corresponding identification code.
Step S1~S3 specific implementation process is same as the previously described embodiments, is repeated no more in the present embodiment.
Simply the preferred embodiment of the present invention described above, for those skilled in the art,
Without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications are also regarded as this hair
Bright protection domain.
Claims (10)
1. a kind of facial-recognition security systems based on cloud computing, it is characterized in that:Including
Information acquisition unit, local information administrative unit is sent to for gathering facial information, and by facial information;
Local information administrative unit, for downloading the facial information of region, forming region data from cloud database in real time
Storehouse, and information in the facial information of collection and regional database is contrasted, and display comparison result on the client.
2. a kind of facial-recognition security systems based on cloud computing according to claim 1, it is characterized in that:System also includes high in the clouds
Information management unit, the high in the clouds information management unit are used to be handled the information that local information administrative unit uploads, pressed
Information is classified according to user area, and information is issued to corresponding regional database according to classification;The local information
The information that administrative unit uploads is the facial information not stored in cloud database.
3. a kind of facial-recognition security systems based on cloud computing according to claim 1 or 2, it is characterized in that:Described information is adopted
Collection unit includes camera, characteristic collector and the validity feature encoder being sequentially connected;The camera is used to catch face
Information, the characteristic collector are used for the characteristic information for obtaining and recording face, and validity feature encoder is to the facial spy
Reference breath is analyzed, and obtains validity feature information, the validity feature information is converted into a code to be verified.
4. a kind of facial-recognition security systems based on cloud computing according to claim 1 or 2, it is characterized in that:The local letter
Breath administrative unit includes client and regional database, and the regional database is used for the facial information for storing region;Visitor
Family end is used to obtain the code to be verified, judges whether facial information corresponding to code to be verified is legal, and show judged result.
5. a kind of facial-recognition security systems based on cloud computing according to claim 2, it is characterized in that:The high in the clouds message tube
Reason unit includes cloud database, cloud server and area monitoring server;The cloud server, which is used to receive, not to be stored
Facial information, each facial information is generated into an identification code, and facial information classified according to user area, will point
Category information is preserved to cloud database;The cloud database deposits the information of different zones and corresponding identification code according to classification
Store up under different directories;The area monitoring server is used to the sort operation of cloud server is monitored and verified.
6. a kind of face recognition method based on cloud computing, it is characterized in that:Comprise the following steps:
S1, download the facial information of region in real time from cloud database, be stored in regional database;
S2, facial information is gathered, and facial information is sent to local information administrative unit;
S3, the information in the facial information and regional database of collection is contrasted, and display comparison result.
7. a kind of face recognition method based on cloud computing according to claim 6, it is characterized in that:Also wrapped before step S1
Include following steps:
The facial information not stored in collection cloud database, high in the clouds information management list is uploaded to by local information administrative unit
Member;
High in the clouds information management unit carries out classification processing to the facial information not stored;
Classification information is issued to local information administrative unit.
8. a kind of face recognition method based on cloud computing according to claim 6 or 7, it is characterized in that:Step S2 tool
Body implementation process is:
Face information is caught by camera, and the characteristic information of face is obtained, recorded by characteristic collector;
Validity feature encoder extracts validity feature information from the face feature information, and the validity feature information is changed
Into a code to be verified.
9. a kind of face recognition method based on cloud computing according to claim 6 or 7, it is characterized in that:Step S3 tool
Body implementation process is:
Code to be verified is obtained, code to be verified and the identification code in regional database are contrasted, judged corresponding to code to be verified
Whether facial information is legal, and shows judged result.
10. a kind of face recognition method based on cloud computing according to claim 7, it is characterized in that:The high in the clouds information
Administrative unit to the facial information not stored carry out classify processing detailed process be:
Extraction does not store the validity feature information of facial information;
The validity feature information is converted into an identification code;
Classify according to user area to not storing facial information and corresponding identification code.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
CN109492604A (en) * | 2018-11-23 | 2019-03-19 | 北京嘉华科盈信息系统有限公司 | Faceform's characteristic statistics analysis system |
CN111400520A (en) * | 2020-02-26 | 2020-07-10 | 北京沃东天骏信息技术有限公司 | Construction method of face recognition library, face payment method, device and system |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202870852U (en) * | 2012-08-01 | 2013-04-10 | 成都亿友科技有限公司 | Face identification system based on cloud computing |
US20140079297A1 (en) * | 2012-09-17 | 2014-03-20 | Saied Tadayon | Application of Z-Webs and Z-factors to Analytics, Search Engine, Learning, Recognition, Natural Language, and Other Utilities |
CN104240348A (en) * | 2014-09-12 | 2014-12-24 | 福建省智慧物联网研究院有限责任公司 | Admittance identity authentication method based on image identification |
CN104240347A (en) * | 2014-09-12 | 2014-12-24 | 福建省智慧物联网研究院有限责任公司 | Admittance identity authentication system based on image identification |
CN104484929A (en) * | 2014-12-22 | 2015-04-01 | 唐玉勇 | Novel community safety application system and implementing method |
CN104866832A (en) * | 2015-05-29 | 2015-08-26 | 福建省智慧物联网研究院有限责任公司 | Novel face authentication method for examination |
CN104899493A (en) * | 2015-05-29 | 2015-09-09 | 福建省智慧物联网研究院有限责任公司 | Novel face authentication system for examination |
CN105117624A (en) * | 2015-06-03 | 2015-12-02 | 深圳市美贝壳科技有限公司 | Recognition system and method of user system based on face recognition |
CN106101135A (en) * | 2016-07-22 | 2016-11-09 | 福州大学 | A kind of account login system based on face and fingerprint recognition and its implementation |
CN205749382U (en) * | 2015-12-18 | 2016-11-30 | 深圳安维森实业有限公司 | A kind of alcohol content tester and alcohol detection system |
CN106548161A (en) * | 2016-11-23 | 2017-03-29 | 上海成业智能科技股份有限公司 | The collection of face recognition features' code and knowledge method for distinguishing under the conditions of disturbing for outdoor or light |
-
2017
- 2017-09-25 CN CN201710876724.6A patent/CN107766796A/en active Pending
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202870852U (en) * | 2012-08-01 | 2013-04-10 | 成都亿友科技有限公司 | Face identification system based on cloud computing |
US20140079297A1 (en) * | 2012-09-17 | 2014-03-20 | Saied Tadayon | Application of Z-Webs and Z-factors to Analytics, Search Engine, Learning, Recognition, Natural Language, and Other Utilities |
CN104240348A (en) * | 2014-09-12 | 2014-12-24 | 福建省智慧物联网研究院有限责任公司 | Admittance identity authentication method based on image identification |
CN104240347A (en) * | 2014-09-12 | 2014-12-24 | 福建省智慧物联网研究院有限责任公司 | Admittance identity authentication system based on image identification |
CN104484929A (en) * | 2014-12-22 | 2015-04-01 | 唐玉勇 | Novel community safety application system and implementing method |
CN104866832A (en) * | 2015-05-29 | 2015-08-26 | 福建省智慧物联网研究院有限责任公司 | Novel face authentication method for examination |
CN104899493A (en) * | 2015-05-29 | 2015-09-09 | 福建省智慧物联网研究院有限责任公司 | Novel face authentication system for examination |
CN105117624A (en) * | 2015-06-03 | 2015-12-02 | 深圳市美贝壳科技有限公司 | Recognition system and method of user system based on face recognition |
CN205749382U (en) * | 2015-12-18 | 2016-11-30 | 深圳安维森实业有限公司 | A kind of alcohol content tester and alcohol detection system |
CN106101135A (en) * | 2016-07-22 | 2016-11-09 | 福州大学 | A kind of account login system based on face and fingerprint recognition and its implementation |
CN106548161A (en) * | 2016-11-23 | 2017-03-29 | 上海成业智能科技股份有限公司 | The collection of face recognition features' code and knowledge method for distinguishing under the conditions of disturbing for outdoor or light |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
CN109492604A (en) * | 2018-11-23 | 2019-03-19 | 北京嘉华科盈信息系统有限公司 | Faceform's characteristic statistics analysis system |
CN111400520A (en) * | 2020-02-26 | 2020-07-10 | 北京沃东天骏信息技术有限公司 | Construction method of face recognition library, face payment method, device and system |
CN111400520B (en) * | 2020-02-26 | 2023-08-04 | 北京沃东天骏信息技术有限公司 | Face recognition library construction method, face payment method, device and system |
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Application publication date: 20180306 |