CN109409344A - Human face data accurately compares and judgment method - Google Patents
Human face data accurately compares and judgment method Download PDFInfo
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- CN109409344A CN109409344A CN201811576767.3A CN201811576767A CN109409344A CN 109409344 A CN109409344 A CN 109409344A CN 201811576767 A CN201811576767 A CN 201811576767A CN 109409344 A CN109409344 A CN 109409344A
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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
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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
- G06V40/40—Spoof detection, e.g. liveness detection
- G06V40/45—Detection of the body part being alive
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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- General Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
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- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Collating Specific Patterns (AREA)
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Abstract
The present invention relates to technical field of computer vision, and it discloses a kind of human face data and accurately compares and judgment method, including central processing unit, central processing unit signal input part is connect with information acquisition module signal output end signal, information acquisition module input receiving end is connect with camera signals output end signal, central processing unit signal output end is connect with data field signal input end signal, and data field signal output end is connect with information comparison module signal input part signal.The present invention passes through setting information comparison module, it is used cooperatively using profile comparison module, pupil comparison module, color difference comparison module, the feature comparison module inside information comparison module, be capable of accuracy judges that the information that camera receives is face or photo, achieve the purpose that avoid photo that face is replaced to carry out attendance when attendance, it is incomplete to solve existing some recognition of face attendance checking systems, the problem of employee replaces others' attendance using others' photo.
Description
Technical field
The present invention relates to technical field of computer vision, specially a kind of human face data accurately compares and judgment method.
Background technique
Face recognition technology is a kind of biology for carrying out identification based on facial feature information of people occurred in recent years
Feature identification technique.Compared with other biological identification technology, recognition of face has friendly, easy, accurate, economical and expansible
Property numerous advantages such as good, can be widely applied to many aspects such as safety verification, monitoring, access control, at present recognition of face
Technology has been applied to access control and attendance, managing caller, and the places such as night watching are the widely used regions of artificial intelligence technology.
The regional characteristics analysis algorithm being widely adopted in face recognition technology, using depth learning technology from video and photograph
Portrait characteristic point is extracted in piece, carries out analysis founding mathematical models, i.e. skin detection using the principle of biostatistics.Benefit
Signature analysis is carried out with the image surface of built skin detection and the people of measured, one is provided according to the result of analysis
Similarity value finally searches best match skin detection, and it is thus determined that a person's identity information.
It includes a series of the relevant technologies for constructing face identification system that the recognition of face of broad sense is practical: including Image Acquisition,
Face datection, feature modeling, comparison identification, identity validation etc.;And the recognition of face of narrow sense refer in particular to by face carry out identity it is true
Recognize or the technology or system of identity finder.
Existing some biggish company's attendances use human face identification work-attendance checking, but some employee's wheel and deal, hold not
The photo of people substitutes others and carries out attendance, to the loss of company's band.
Summary of the invention
It accurately compares the object of the present invention is to provide a kind of human face data and judgment method, is avoided when having reached attendance
Photo replaces the purpose of face progress attendance.
To achieve the above object, the invention provides the following technical scheme: a kind of human face data accurately compares and judgment method,
Including central processing unit, the central processing unit signal input part is connect with information acquisition module signal output end signal, described
Information acquisition module input receiving end is connect with camera signals output end signal, the central processing unit signal output end and number
It being connected according to library signal input part signal, the data field signal output end is connect with information comparison module signal input part signal,
Contain profile comparison module, pupil comparison module, color difference comparison module and feature comparison module inside the information comparison module,
The information comparison module signal output end is connect with judgment module signal input part signal, the judgment module signal output end
It is connect with feedback unit signal input part signal, the feedback unit signal output end and central processing unit signal input part signal
Connection, the central processing unit signal output end are connect with control unit signal input part signal, and described control unit signal is defeated
Outlet is connect with logging modle signal input part signal, and the logging modle signal output end and display module signal input part are believed
Number connection, the display module signal output end connect with display screen signal receiving end signal.
Preferably, the profile comparison module inside the information comparison module, pupil comparison module, color difference comparison module and
Feature comparison module is while carrying out.
Preferably, the display screen is LED electrical screen.
Preferably, the central processing unit signal output end is connect with drive module signal input part signal, the driving
The connection of module by signal output end human-computer interaction module signal input part signal, the human-computer interaction module signal output end and image
The connection of memory module signal input part signal, described image memory module signal output end and data field signal output end signal connect
It connects.
Preferably, it is equipped with driving power inside the drive module, the driving power is electrically connected with human-computer interaction module.
Preferably, method and step is as follows:
S1, need the employee of attendance by oneself face to camera, information acquisition module feeds back the information acquired from camera
To central processing unit;
The information obtained from information acquisition module is passed to database by S2, central processing unit, existing by data store internal
Face data is compared, and passes through profile comparison module, pupil comparison module, the color difference comparison module inside information comparison module
Quadruple comparison is carried out with feature comparison module;
S3, it the information that the information after comparison is judged by judgment module is passed through into feedback unit again feeds back to central processing
Device, if it is me, central processing unit is finally shown information by control unit, logging modle, display module and display screen
If not human body be photo in display screen surface, by central processing unit, control unit, logging modle, display module and
Display screen finally records the information in display screen surface;
S4, information pass to central processing, are the discovery that human body, but data are not that can pass through man-machine friendship in data store internal
New information is stored in data store internal by mutual module and image storage module again.
It is accurately compared the present invention provides a kind of human face data and judgment method.Have it is following the utility model has the advantages that
(1), the present invention utilizes the profile comparison module inside information comparison module, pupil ratio by setting information comparison module
Module, color difference comparison module, feature comparison module are used cooperatively, the information that can accurately judge that camera receives is
Face or photo have achieved the purpose that avoid photo that face is replaced to carry out attendance when attendance solve existing some faces and know
The problem of other attendance checking system is incomplete, and employee replaces others' attendance using others' photo.
(2), the present invention is remembered the photo for using photo that face is replaced to check card by logging modle by setting logging modle
Record is got off, and is shown by display screen, to have the function that warning, is reduced people and is carried out using photo instead of face
The purpose of attendance.
(3), the present invention is by setting drive module, human-computer interaction module and image storage module, when feedback unit is from number
According to matched data are not found in library, it can drive human-computer interaction module and image storage module will with by drive module
Information is stored in data store internal, has achieved the purpose that new employee is facilitated to store information.
Detailed description of the invention
Fig. 1 is present system figure.
In figure: 1 central processing unit, 2 information acquisition modules, 3 cameras, 4 control units, 5 logging modles, 6 display modules,
7 display screens, 8 databases, 9 information comparison modules, 10 profile comparison modules, 11 pupil comparison modules, 12 color difference comparison modules, 13
Feature comparison module, 14 judgment modules, 15 drive modules, 16 human-computer interaction modules, 17 image storage modules, 18 feedback units.
Specific embodiment
As shown in Figure 1, the present invention provides a kind of technical solution: a kind of human face data accurately compares and judgment method, including
Central processing unit 1,1 signal input part of central processing unit are connect with 2 signal output end signal of information acquisition module, information collection mould
Block 2 inputs receiving end and connect with 3 signal output end signal of camera, and 1 signal output end of central processing unit and 8 signal of database are defeated
Enter end signal connection, 8 signal output end of database is connect with 9 signal input part signal of information comparison module, information comparison module 9
Contain profile comparison module 10, pupil comparison module 11, color difference comparison module 12 and feature comparison module 13, information comparison in inside
9 signal output end of module is connect with 14 signal input part signal of judgment module, 14 signal output end of judgment module and feedback unit
The connection of 18 signal input part signals, 18 signal output end of feedback unit are connect with 1 signal input part signal of central processing unit, center
1 signal output end of processor is connect with 4 signal input part signal of control unit, 4 signal output end of control unit and logging modle 5
The connection of signal input part signal, 5 signal output end of logging modle are connect with 6 signal input part signal of display module, display module 6
Signal output end is connect with 7 signal receiving end signal of display screen, the profile comparison module 10 inside information comparison module 9, pupil
Comparison module 11, color difference comparison module 12 and feature comparison module 13 are while carrying out that display screen 7 is LED electrical screen, centre
Reason 1 signal output end of device is connect with 15 signal input part signal of drive module, 15 signal output end human-computer interaction mould of drive module
The connection of 16 signal input part signal of block, 16 signal output end of human-computer interaction module and 17 signal input part signal of image storage module
Connection, 17 signal output end of image storage module are connect with 8 signal output end signal of database, are equipped with and are driven inside drive module 15
Dynamic power supply, driving power are electrically connected with human-computer interaction module 16.
Its method and step is as follows:
S1, need the employee of attendance by oneself face to camera 3, information acquisition module 2 is anti-by the information acquired from camera 3
It feeds central processing unit 1;
The information obtained from information acquisition module 2 is passed to database 8 by S2, central processing unit 1, by existing inside database 8
Some face datas are compared, and pass through profile comparison module 10, the pupil comparison module 11, color inside information comparison module 9
Poor comparison module 12 and feature comparison module 13 carry out quadruple comparison and utilize information comparison mould by setting information comparison module 9
Profile comparison module 10, pupil comparison module 11, color difference comparison module 12, feature comparison module 13 inside block 9 are used cooperatively,
It can accurately judge that the information that camera 3 receives is face or photo, photo is avoided to replace people when having reached attendance
The purpose of face progress attendance;
S3, the information for judging the information after comparison by judgment module 14 pass through feedback unit 18 again and feed back to centre
Device 1 is managed, if it is me, central processing unit 1 finally will by control unit 4, logging modle 5, display module 6 and display screen 7
Information is shown in 7 surface of display screen, is photo if not human body, passes through central processing unit 1, control unit 4, logging modle
5, display module 6 and display screen 7 finally record the information in 7 surface of display screen, will be replaced using photo by logging modle 5
The photo that face is checked card is recorded, and is shown by display screen 7, to have the function that warning, reduces people's benefit
The purpose of face progress attendance is replaced with photo;
S4, information pass to central processing 1, are the discovery that human body, but data be not inside database 8, can be by man-machine
New information is stored in inside database 8 by interactive module 16 and image storage module 17 again, by setting drive module 15,
Human-computer interaction module 16 and image storage module 17, when feedback unit 18 does not find matched data out of database 8,
Human-computer interaction module 16 and image storage module 17 can be driven to store information in inside 15 library of data with by drive module 15,
Achieve the purpose that new employee is facilitated to store information.
It can to sum up obtain, the present invention is compared by setting information comparison module 9 using the profile inside information comparison module 9
Module 10, pupil comparison module 11, color difference comparison module 12, feature comparison module 13 are used cooperatively, and can accurately be judged
The information that camera 3 receives is face or photo, has achieved the purpose that avoid photo that face is replaced to carry out attendance when attendance,
It is incomplete to solve existing some recognition of face attendance checking systems, the problem of employee replaces others' attendance using others' photo, leads to
Setting logging modle is crossed, the photo for using photo that face is replaced to check card is recorded by logging modle 5, passes through display screen 7
It shows, to have the function that warning, reduces the purpose that people replace face to carry out attendance using photo, by setting
Set drive module 15, human-computer interaction module 16 and image storage module 17, when feedback unit 18 do not found out of database 8 with
Its matched data can drive human-computer interaction module 16 and image storage module 17 to store information in by drive module 15
Inside 15 library of data, achieve the purpose that new employee is facilitated to store information.
Claims (6)
1. a kind of human face data accurately compares and judgment method, including central processing unit (1), it is characterised in that: the centre
Reason device (1) signal input part is connect with information acquisition module (2) signal output end signal, information acquisition module (2) input
Receiving end is connect with camera (3) signal output end signal, and central processing unit (1) signal output end and database (8) are believed
The connection of number input end signal, database (8) signal output end are connect with information comparison module (9) signal input part signal,
Contain profile comparison module (10), pupil comparison module (11), color difference comparison module (12) inside the information comparison module (9)
With feature comparison module (13), information comparison module (9) signal output end and judgment module (14) signal input part signal
Connection, judgment module (14) signal output end are connect with feedback unit (18) signal input part signal, the feedback unit
(18) signal output end is connect with central processing unit (1) signal input part signal, central processing unit (1) signal output end with
The connection of control unit (4) signal input part signal, described control unit (4) signal output end and logging modle (5) signal input
End signal connection, logging modle (5) signal output end are connect with display module (6) signal input part signal, the display
Module (6) signal output end is connect with display screen (7) signal receiving end signal.
2. human face data according to claim 1 accurately compares and judgment method, it is characterised in that: the information comparison mould
Block (9) internal profile comparison module (10), pupil comparison module (11), color difference comparison module (12) and feature comparison module
(13) it is while carries out.
3. human face data according to claim 1 accurately compares and judgment method, it is characterised in that: the display screen (7)
For LED electrical screen.
4. human face data according to claim 1 accurately compares and judgment method, it is characterised in that: the central processing unit
(1) signal output end is connect with drive module (15) signal input part signal, and drive module (15) signal output end is man-machine
The connection of interactive module (16) signal input part signal, human-computer interaction module (16) signal output end and image storage module
(17) signal input part signal connects, and described image memory module (17) signal output end and database (8) signal output end are believed
Number connection.
5. human face data according to claim 1 accurately compares and judgment method, it is characterised in that: the drive module
(15) internal to be equipped with driving power, the driving power is electrically connected with human-computer interaction module (16).
6. human face data according to claim 5 accurately compares and judgment method, it is characterised in that: its method and step is such as
Under:
S1, need the employee of attendance that will acquire oneself face from camera (3) to camera (3), information acquisition module (2)
Information feeds back to central processing unit (1);
The information obtained from information acquisition module (2) is passed to database (8) by S2, central processing unit (1), passes through database
(8) internal existing face data is compared, and passes through the internal profile comparison module (10) of information comparison module (9), pupil
Comparison module (11), color difference comparison module (12) and feature comparison module (13) carry out quadruple comparison;
S3, the information for judging the information after comparison by judgment module (14) pass through again during feedback unit (18) feeds back to
Central processor (1), if it is I, central processing unit (1) by control unit (4), logging modle (5), display module (6) and
Display screen (7), finally show information is photo, passes through central processing unit on display screen (7) surface if not human body
(1), control unit (4), logging modle (5), display module (6) and display screen (7), finally record the information in display screen (7)
Surface;
S4, information pass to central processing (1), are the discovery that human body, but data can be passed through in database (8) inside
New information is stored in inside database (8) by human-computer interaction module (16) and image storage module (17) again.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109940848A (en) * | 2019-04-11 | 2019-06-28 | 德清县宏兴轻工机械厂 | A kind of flow of material control device of reciprocating push plate machine inlet |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103679118A (en) * | 2012-09-07 | 2014-03-26 | 汉王科技股份有限公司 | Human face in-vivo detection method and system |
CN103984941A (en) * | 2014-06-10 | 2014-08-13 | 深圳市赛为智能股份有限公司 | Face recognition checking-in method and device thereof |
CN104239766A (en) * | 2014-08-20 | 2014-12-24 | 中广核核电运营有限公司 | Video and audio based identity authentication method and system for nuclear power plants |
CN104766063A (en) * | 2015-04-08 | 2015-07-08 | 宁波大学 | Living body human face identifying method |
CN106650693A (en) * | 2016-12-30 | 2017-05-10 | 河北三川科技有限公司 | Multi-feature fusion identification algorithm used for human face comparison |
CN107967458A (en) * | 2017-12-06 | 2018-04-27 | 宁波亿拍客网络科技有限公司 | A kind of face identification method |
CN108986245A (en) * | 2018-06-14 | 2018-12-11 | 深圳市商汤科技有限公司 | Work attendance method and terminal based on recognition of face |
CN109614949A (en) * | 2018-12-23 | 2019-04-12 | 广东腾晟信息科技有限公司 | The method of judgement identification human body from image |
-
2018
- 2018-12-23 CN CN201811576767.3A patent/CN109409344A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103679118A (en) * | 2012-09-07 | 2014-03-26 | 汉王科技股份有限公司 | Human face in-vivo detection method and system |
CN103984941A (en) * | 2014-06-10 | 2014-08-13 | 深圳市赛为智能股份有限公司 | Face recognition checking-in method and device thereof |
CN104239766A (en) * | 2014-08-20 | 2014-12-24 | 中广核核电运营有限公司 | Video and audio based identity authentication method and system for nuclear power plants |
CN104766063A (en) * | 2015-04-08 | 2015-07-08 | 宁波大学 | Living body human face identifying method |
CN106650693A (en) * | 2016-12-30 | 2017-05-10 | 河北三川科技有限公司 | Multi-feature fusion identification algorithm used for human face comparison |
CN107967458A (en) * | 2017-12-06 | 2018-04-27 | 宁波亿拍客网络科技有限公司 | A kind of face identification method |
CN108986245A (en) * | 2018-06-14 | 2018-12-11 | 深圳市商汤科技有限公司 | Work attendance method and terminal based on recognition of face |
CN109614949A (en) * | 2018-12-23 | 2019-04-12 | 广东腾晟信息科技有限公司 | The method of judgement identification human body from image |
Non-Patent Citations (2)
Title |
---|
KEWAL BHAT等: "Prevention of Spoofing attacks in FR based Attendance System using liveness detection", 《INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY》 * |
刘浩志: "防欺骗人脸识别考勤系统研究与设计", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109940848A (en) * | 2019-04-11 | 2019-06-28 | 德清县宏兴轻工机械厂 | A kind of flow of material control device of reciprocating push plate machine inlet |
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