CN104851140A - Face recognition-based attendance access control system - Google Patents
Face recognition-based attendance access control system Download PDFInfo
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- CN104851140A CN104851140A CN201410767220.7A CN201410767220A CN104851140A CN 104851140 A CN104851140 A CN 104851140A CN 201410767220 A CN201410767220 A CN 201410767220A CN 104851140 A CN104851140 A CN 104851140A
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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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- 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
- 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
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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- Oral & Maxillofacial Surgery (AREA)
- Computer Vision & Pattern Recognition (AREA)
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Abstract
The present invention provides a face recognition-based attendance access control system, which comprises a first camera module used for acquiring a first image information in a first preset to-be-monitored space, a second camera module used for acquiring a second image information in a second preset to-be-monitored space, a face recognition and processing module used for conducting the gray processing and the illumination compensation processing on the acquired first and second image information so as to obtain an grayscale image, and extracting the feature information of face components from the grayscale image, a feature data comparison module used for conducting the similarity comparison on the feature information of face components and the pre-stored face data information, and generating an access control switch control signal when the similarity achieves a similar threshold, and an access control module used for receiving the access control switch control signal to open or close a door. According to the invention, the cross monitoring function on the image information in different to-be-monitored spaces can be realized by the first camera module and the second camera module. Therefore, the recognition accuracy is improved.
Description
Technical field
The invention belongs to technical field of face recognition, be specifically related to a kind of work attendance gate control system based on recognition of face.
Background technology
Face recognition technology is the face feature based on people, to facial image or the video flowing of input, first judges whether it exists face, if there is face, then provides the information such as position of the position of each face, size and each major facial organ further.And according to these information, extract the identity characteristic contained in each face further, and itself and known face are contrasted, thus identify the identity of each face.
The advantage of recognition of face is its naturality and not by the feature that tested individuality is discovered, so-called naturality, refers to that the biological characteristic that this recognition method utilizes when carrying out individual identification with the mankind is identical.Such as recognition of face, the mankind are also by observing and comparing face to distinguish and confirm identity, the identification in addition with naturality also has speech recognition, bodily form identification etc., and fingerprint recognition, iris recognition etc. do not have naturality, because the mankind or other biological are not by this type of biological characteristic difference individuality.Also very unimportant for a kind of recognition methods by the feature discovered, this can make this recognition methods not offensive, and because is not easy arouse people's attention and be not easy to be cheated.Recognition of face has the feature of this respect, it utilizes visible ray to obtain human face image information completely, and be different from fingerprint recognition or iris recognition, need to utilize electronic pressure transmitter to gather fingerprint, or utilize infrared collection iris image, these special acquisition modes are easy to be therefore easily perceived by humans, thus more likely by impersonation.
Although recognition of face has a lot of other to identify incomparable advantage, also there is many difficulties in itself.Recognition of face is considered to one of living things feature recognition field research topic that even artificial intelligence field is the most difficult, the difficulty of recognition of face mainly face is brought as the feature of biological characteristic, face feature is visually: the difference between Different Individual is little, the structure of all faces is all similar, and even the construction profile of human face is all very similar.Such feature is favourable for utilizing face to position, but is disadvantageous for utilizing face to distinguish human individual; The profile of face is very unstable, and people can produce a lot of expression by the change of face, and in different viewing angle, the visual pattern of face also differs greatly.In addition, recognition of face is also by the impact of the many factors such as a lot of overcovers (such as mouth mask, sunglasses, hair, beard etc.), age of illumination condition (such as day and night, indoor and outdoors etc.), face.
Summary of the invention
Profile for the face of prior art existence is very unstable, people can produce a lot of expression by the change of face, and in different viewing angle, the visual pattern of face also differs greatly, recognition of face simultaneously, also by the technical matters that the factors such as illumination condition, overcover and age affect, the invention provides a kind of work attendance gate control system based on recognition of face.
To achieve these goals, the present invention adopts following technical scheme:
Based on a work attendance gate control system for recognition of face, comprise the first camera module, second camera module, recognition of face processing module, face characteristic extraction module, characteristic comparing module and access control module; Described first camera module gathers the first image information that first presets space to be monitored; Described second camera module gathers the second image information that second presets space to be monitored; Described recognition of face processing module carries out gray processing and illumination compensation process to described first image information obtained and the second image information, thus obtains gray level image; Described face characteristic extraction module extracts face component characteristic information from described gray level image; Described face component characteristic information and the human face data information prestored are carried out similarity comparison by described characteristic comparing module, if similarity reaches similar threshold value, produce gate inhibition's switch controlling signal; Described access control module receives described gate inhibition's switch controlling signal, performs and opens the door or door-closing operation.
Work attendance gate control system based on recognition of face provided by the invention, comprise the first camera module and second camera module, described first camera module and second camera module can be taken the image information that difference presets space to be monitored, namely can identify the image information of different geometric position, thus form the human body information data of multidimensional, and after recognition of face processing module, face characteristic extraction module, characteristic comparing module and access control resume module, realize the function of work attendance gate inhibition; Native system does not need artificial participation simultaneously, saves a large amount of human resources.
Further, described system also comprises the synchronous DRAM temporarily depositing operational data in recognition of face processing module.
Further, described system also comprises the flash memories storing recognition of face program and the human face data information that prestores.
Further, described system also comprises the voice prompting device reported described characteristic comparison module result.
Accompanying drawing explanation
Fig. 1 is the work attendance gate control system theory structure schematic diagram based on recognition of face provided by the invention.
Embodiment
The technological means realized to make the present invention, creation characteristic, reaching object and effect is easy to understand, below in conjunction with concrete diagram, setting forth the present invention further.
Please refer to shown in Fig. 1, a kind of work attendance gate control system based on recognition of face, comprises the first camera module 1, second camera module 2, recognition of face processing module 3, face characteristic extraction module 4, characteristic comparing module 5 and access control module 6; Described first camera module 1 gathers the first image information that first presets space to be monitored; Described second camera module 2 gathers the second image information that second presets space to be monitored; Described recognition of face processing module 3 carries out gray processing and illumination compensation process to described first image information obtained and the second image information, thus obtains gray level image; Described face characteristic extraction module 4 extracts face component characteristic information from described gray level image; Described face component characteristic information and the human face data information prestored are carried out similarity comparison by described characteristic comparing module 5, if similarity reaches similar threshold value, produce gate inhibition's switch controlling signal; Described access control module 6 receives described gate inhibition's switch controlling signal, performs and opens the door or door-closing operation.
Work attendance gate control system based on recognition of face provided by the invention, comprise the first camera module and second camera module, described first camera module and second camera module can be taken the image information that difference presets space to be monitored, namely can identify the image information of different geometric position, thus form the human body information data of multidimensional, and after recognition of face processing module, face characteristic extraction module, characteristic comparing module and access control resume module, realize the function of work attendance gate inhibition; Native system does not need artificial participation simultaneously, saves a large amount of human resources.
Particularly, described first camera module and second camera module are taken the image information that difference presets space to be monitored, namely different facial images can be collected by pick-up lens, the aspects such as such as still image, dynamic image, different positions, different expressions can well be gathered, when user is in the coverage of collecting device, collecting device is understood automatic search and is taken the facial image of user; Recognition of face processing module, the original image that system obtains is owing to being subject to restriction and the random disturbance of various condition, often can not directly use, the image procossing such as gray correction, noise filtering must be carried out to it at the commitment of image procossing, for facial image, its processing procedure mainly comprises the illumination compensation of facial image, greyscale transformation, geometry correction, filtering and sharpening etc.; Face characteristic extraction module, the spendable feature of face identification system is divided into visual signature, pixels statistics feature, facial image conversion coefficient feature, facial image algebraic characteristic etc. usually, face characteristic extracts and carries out for some feature of face, face characteristic extracts and also claims face to characterize, it is the process of face being carried out to feature modeling, the method that face characteristic extracts is summed up and is divided into two large classes: one is Knowledge based engineering characterizing method, and another is the characterizing method based on algebraic characteristic or statistical learning; Knowledge based engineering characterizing method mainly obtains according to the shape description of human face and the range performance between them characteristic contributing to face classification, its characteristic component generally includes Euclidean distance, curvature and angle etc. between unique point, face is made up of local such as eyes, nose, mouth, chins, to these local and the geometric description of structural relation between them, can be used as the key character identifying face, these features are called as geometric properties, and Knowledge based engineering face characterizes the method and template matching method that mainly comprise based on geometric properties; Characteristic comparing module, the characteristic of the facial image extracted is carried out search with the feature templates prestored in database and is mated, by setting a threshold value, when similarity exceedes this threshold value, then export mating the result obtained, recognition of face is exactly face characteristic to be identified and the skin detection obtained are compared, and judges according to the identity information of similarity degree to face.
As specific embodiment, described system also comprises the synchronous DRAM temporarily depositing operational data in recognition of face processing module.
As specific embodiment, described system also comprises the flash memories storing recognition of face program and the human face data information that prestores.
As specific embodiment, described system also comprises the voice prompting device reported described characteristic comparison module result, with facilitate current personnel by and remind related management personnel to note.
Work attendance gate control system based on recognition of face provided by the invention, profile for the face of prior art existence is very unstable, people can produce a lot of expression by the change of face, and in different viewing angle, the visual pattern of face also differs greatly, recognition of face is simultaneously also by illumination condition, the technical matters of the factor impact such as overcover and age, be provided with the first camera module and second camera module, described first camera module and second camera module can be taken the image information that difference presets space to be monitored, namely the image information can treating monitoring space carries out cross monitoring, thus improve the accuracy of identification, facial image is accurately judged, substantially increase the security of work attendance gate control system, certainly, described system is not limited to and arranges the first camera module and second camera module, and those skilled in the art can also install more camera module on this basis as required, to improve the accuracy of facial image identification.
These are only embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every equivalent structure utilizing instructions of the present invention and accompanying drawing content to do, is directly or indirectly used in the technical field that other are relevant, all in like manner within scope of patent protection of the present invention.
Claims (4)
1. based on the work attendance gate control system of recognition of face, it is characterized in that, comprise the first camera module, second camera module, recognition of face processing module, face characteristic extraction module, characteristic comparing module and access control module; Described first camera module gathers the first image information that first presets space to be monitored; Described second camera module gathers the second image information that second presets space to be monitored; Described recognition of face processing module carries out gray processing and illumination compensation process to described first image information obtained and the second image information, thus obtains gray level image; Described face characteristic extraction module extracts face component characteristic information from described gray level image; Described face component characteristic information and the human face data information prestored are carried out similarity comparison by described characteristic comparing module, if similarity reaches similar threshold value, produce gate inhibition's switch controlling signal; Described access control module receives described gate inhibition's switch controlling signal, performs and opens the door or door-closing operation.
2. the work attendance gate control system based on recognition of face according to claim 1, it is characterized in that, described system also comprises the synchronous DRAM temporarily depositing operational data in recognition of face processing module.
3. the work attendance gate control system based on recognition of face according to claim 1, is characterized in that, described system also comprises the flash memories storing recognition of face program and the human face data information that prestores.
4. the work attendance gate control system based on recognition of face according to claim 1, is characterized in that, described system also comprises the voice prompting device reported described characteristic comparison module result.
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Cited By (26)
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| CN105684048A (en) * | 2016-01-05 | 2016-06-15 | 张北江 | Checking-in method and system of monitoring system |
| CN105868693A (en) * | 2016-03-21 | 2016-08-17 | 深圳市商汤科技有限公司 | Identity authentication method and system |
| CN106157414A (en) * | 2016-07-25 | 2016-11-23 | 苏州乐创空间孵化管理有限公司 | A kind of recognition of face type gate control system |
| CN106778615A (en) * | 2016-12-16 | 2017-05-31 | 中新智擎有限公司 | A kind of method of identifying user identity, device and service for infrastructure robot |
| CN106780809A (en) * | 2016-12-06 | 2017-05-31 | 浙江水马环保科技有限公司 | Punch card method based on water purifier |
| CN106778699A (en) * | 2017-01-20 | 2017-05-31 | 贵州财经大学 | The door of face identification system and application face identification system |
| CN106887058A (en) * | 2017-01-09 | 2017-06-23 | 北京微影时代科技有限公司 | Face identification method, device, access management system and gate |
| CN106952371A (en) * | 2017-03-21 | 2017-07-14 | 北京深度未来科技有限公司 | A kind of face roaming authentication method and system |
| CN107704842A (en) * | 2017-10-26 | 2018-02-16 | 广州云从信息科技有限公司 | A kind of identification camera method of work based on recognition of face certification |
| CN107734249A (en) * | 2017-09-26 | 2018-02-23 | 四川仪岛科技有限公司 | A kind of gate inhibition's video capture system and control method |
| CN108090982A (en) * | 2017-12-28 | 2018-05-29 | 深圳英飞拓科技股份有限公司 | One kind is registered method, system and terminal device |
| CN108846925A (en) * | 2018-06-04 | 2018-11-20 | 深圳云天励飞技术有限公司 | Face recognition door control system |
| CN109598183A (en) * | 2017-09-30 | 2019-04-09 | 杭州海康威视数字技术股份有限公司 | A kind of method, apparatus and system of face authentication |
| CN109636956A (en) * | 2018-10-26 | 2019-04-16 | 深圳云天励飞技术有限公司 | A kind of access control system control method, device and electronic equipment |
| CN109657576A (en) * | 2018-12-06 | 2019-04-19 | 联想(北京)有限公司 | Image Acquisition control method, device, storage medium and system |
| CN109919091A (en) * | 2019-03-06 | 2019-06-21 | 广州佳都数据服务有限公司 | Face safety inspection method, device and electronic equipment based on dynamic white list |
| CN110211266A (en) * | 2019-05-29 | 2019-09-06 | 甘肃万华金慧科技股份有限公司 | A kind of gate inhibition's face identification system and method |
| CN111160067A (en) * | 2018-11-07 | 2020-05-15 | 北京奇虎科技有限公司 | Danger identification method and device, electronic equipment and computer readable storage medium |
| CN111159159A (en) * | 2019-12-31 | 2020-05-15 | 上海依图网络科技有限公司 | Public transportation passing method, device, equipment and system based on historical passing record |
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Cited By (34)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2017117715A1 (en) * | 2016-01-05 | 2017-07-13 | 张北江 | Attendance method and system for monitoring system |
| CN105684048A (en) * | 2016-01-05 | 2016-06-15 | 张北江 | Checking-in method and system of monitoring system |
| CN105868693A (en) * | 2016-03-21 | 2016-08-17 | 深圳市商汤科技有限公司 | Identity authentication method and system |
| CN106157414A (en) * | 2016-07-25 | 2016-11-23 | 苏州乐创空间孵化管理有限公司 | A kind of recognition of face type gate control system |
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| CN106780809A (en) * | 2016-12-06 | 2017-05-31 | 浙江水马环保科技有限公司 | Punch card method based on water purifier |
| CN106778615A (en) * | 2016-12-16 | 2017-05-31 | 中新智擎有限公司 | A kind of method of identifying user identity, device and service for infrastructure robot |
| CN106778615B (en) * | 2016-12-16 | 2019-10-18 | 中新智擎科技有限公司 | A kind of method, apparatus and service for infrastructure robot identifying user identity |
| CN106887058A (en) * | 2017-01-09 | 2017-06-23 | 北京微影时代科技有限公司 | Face identification method, device, access management system and gate |
| CN106778699A (en) * | 2017-01-20 | 2017-05-31 | 贵州财经大学 | The door of face identification system and application face identification system |
| CN106952371A (en) * | 2017-03-21 | 2017-07-14 | 北京深度未来科技有限公司 | A kind of face roaming authentication method and system |
| CN107734249A (en) * | 2017-09-26 | 2018-02-23 | 四川仪岛科技有限公司 | A kind of gate inhibition's video capture system and control method |
| CN109598183A (en) * | 2017-09-30 | 2019-04-09 | 杭州海康威视数字技术股份有限公司 | A kind of method, apparatus and system of face authentication |
| CN109598183B (en) * | 2017-09-30 | 2020-11-06 | 杭州海康威视数字技术股份有限公司 | Face authentication method, device and system |
| CN107704842A (en) * | 2017-10-26 | 2018-02-16 | 广州云从信息科技有限公司 | A kind of identification camera method of work based on recognition of face certification |
| CN108090982A (en) * | 2017-12-28 | 2018-05-29 | 深圳英飞拓科技股份有限公司 | One kind is registered method, system and terminal device |
| CN108846925A (en) * | 2018-06-04 | 2018-11-20 | 深圳云天励飞技术有限公司 | Face recognition door control system |
| CN109636956A (en) * | 2018-10-26 | 2019-04-16 | 深圳云天励飞技术有限公司 | A kind of access control system control method, device and electronic equipment |
| CN111160067A (en) * | 2018-11-07 | 2020-05-15 | 北京奇虎科技有限公司 | Danger identification method and device, electronic equipment and computer readable storage medium |
| CN109657576A (en) * | 2018-12-06 | 2019-04-19 | 联想(北京)有限公司 | Image Acquisition control method, device, storage medium and system |
| CN109657576B (en) * | 2018-12-06 | 2023-10-31 | 联想(北京)有限公司 | Image acquisition control method, device, storage medium and system |
| CN109919091A (en) * | 2019-03-06 | 2019-06-21 | 广州佳都数据服务有限公司 | Face safety inspection method, device and electronic equipment based on dynamic white list |
| CN110211266A (en) * | 2019-05-29 | 2019-09-06 | 甘肃万华金慧科技股份有限公司 | A kind of gate inhibition's face identification system and method |
| CN111159159A (en) * | 2019-12-31 | 2020-05-15 | 上海依图网络科技有限公司 | Public transportation passing method, device, equipment and system based on historical passing record |
| CN111159159B (en) * | 2019-12-31 | 2023-11-14 | 上海依图网络科技有限公司 | Public traffic passing method, device, equipment and system based on history passing record |
| CN111242047A (en) * | 2020-01-15 | 2020-06-05 | 北京明略软件系统有限公司 | Image processing method and apparatus, electronic device, and computer-readable storage medium |
| CN111738065A (en) * | 2020-05-11 | 2020-10-02 | 广东天波信息技术股份有限公司 | Face recognition access control method and system |
| CN111526341A (en) * | 2020-07-03 | 2020-08-11 | 支付宝(杭州)信息技术有限公司 | Monitoring camera |
| CN112819983A (en) * | 2021-01-08 | 2021-05-18 | 广州云从鼎望科技有限公司 | Meeting place sign-in method, device, machine readable medium and equipment |
| CN113689585A (en) * | 2021-10-25 | 2021-11-23 | 深圳市安软慧视科技有限公司 | Non-inductive attendance card punching method, system and related equipment |
| CN116824673A (en) * | 2023-07-06 | 2023-09-29 | 广东迅扬科技股份有限公司 | Safety protection method and device for identifying user identity based on intelligent camera |
| CN116824673B (en) * | 2023-07-06 | 2024-01-30 | 广东迅扬科技股份有限公司 | Safety protection method and device for identifying user identity based on intelligent camera |
| CN116886892A (en) * | 2023-09-05 | 2023-10-13 | 功道(深圳)科技实业有限公司 | Access control management method based on multi-source data |
| CN116886892B (en) * | 2023-09-05 | 2023-12-29 | 功道(深圳)科技实业有限公司 | Access control management method based on multi-source data |
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