CN105374098A - Method used for unlocking using human body double-characteristic identification module - Google Patents
Method used for unlocking using human body double-characteristic identification module Download PDFInfo
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- CN105374098A CN105374098A CN201510925994.2A CN201510925994A CN105374098A CN 105374098 A CN105374098 A CN 105374098A CN 201510925994 A CN201510925994 A CN 201510925994A CN 105374098 A CN105374098 A CN 105374098A
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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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- 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
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
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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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- General Physics & Mathematics (AREA)
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- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
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Abstract
The invention discloses a method used for unlocking using a human body double-characteristic identification module. According to the method, two-stage identification including fingerprint identification and human face identification is adopted; the human body double-characteristic identification module comprises a system main control panel, a high sharpness camera, a fingerprint head, a fingerprint driver board, and a door lock drive board. According to the method, human face identification is adopted, so that safety of locksets is improved, and human face identification can be used for solving a problem caused by unavailable fingerprint identification. Under normal conditions, when an operator is going to unlock a lock, a finger is put on a fingerprint reader for fingerprint identification, when the fingerprint is identified to be right, the face is turned to the camera of the human body double-characteristic identification module, and the camera is used for human face identification, and unlocking of the lock is realized when the face identified to be right. When fingerprint identification is impossible to carry out, human face identification is carried out, and unlocking of the lock is realized when the face identified to be right. The priority of the human face identification is higher than that of fingerprint identification, so that lock protection grade is increased via double biological recognition.
Description
Technical field
The present invention relates to characteristics of human body's coded lock, particularly a kind of method utilizing human body double characteristic identification module to unblank.
Background technology
Now coded lock is commercially generally finger-print puzzle lock, is based on the somatic fingerprint identification in bio-identification, can open lockset after user's fingerprint recognition is correct.
Algorithm for recognizing fingerprint is the key realizing fingerprint recognition, and it directly determines the height of discrimination, is the core of fingerprint identification technology.These algorithms all become better and approaching perfection day by day.At present, the research of fingerprint identification technology has all achieved huge progress in the data acquisition of front end or on the algorithm for recognizing fingerprint of rear end.Automated Fingerprint Identification System (AutomaticFingerprintIdentificationSystem, be called for short AFIS) be by special photoelectric conversion device and computer image processing technology, living body finger print is gathered, analyzes and comparison, personal identification can be identified automatically, rapidly, exactly.Generally can be divided into " off-line part " and " online part " two parts.Wherein off-line part comprises and gathers fingerprint with fingerprint acquisition instrument, extract minutiae point, minutiae point is saved in database key steps such as forming fingerprint template storehouse.Online part comprise with fingerprint acquisition instrument gather fingerprint, extract minutiae point, then by these minutiae point with preserve template minutiae point in a database and mate, judge to input minutiae point and template minutiae point whether from the fingerprint of same finger.In general, processed offline allows artifact to get involved, can manual adjustment System parameter as required, and processes online and automatically should complete all operations by system completely.
The advantage of fingerprint recognition: 1, fingerprint is the unique feature of human body, and their complexity is enough to the enough features being provided for discriminating; 2, the speed of scanning fingerprint is fast, very easy to use; 3, fingerprint collecting head can miniaturization more, and price can be more cheap.
The shortcoming of fingerprint recognition: 1, the fingerprint fingerprint characteristic of some people or some colony is few, difficult imaging; 2, all can leave the finger mark of user during each use fingerprint recognition on fingerprint collecting head, and the existence of these finger marks is used to the possibility copying fingerprint; Fingerprint Lock is on the market also mostly optical fingerprint acquisition instrument, and the impression of such fingerprint is likely copied by other people, is used for opening Fingerprint Lock.3, finger drying or humidity all can affect the accuracy rate of fingerprint recognition.
Summary of the invention
In view of above-mentioned prior art Problems existing, the invention provides a kind of method utilizing human body double characteristic identification module to unblank.The human body double characteristic identification module that this method utilizes adds face features recognition function on fingerprint identification module basis, carries out dual bio-identification to improve the degree of protection of lockset.
The technical scheme that the present invention takes is: a kind of method utilizing human body double characteristic identification module to unblank, is characterized in that: the method comprises fingerprint recognition and face face recognition two stage recognition, and first order fingerprint recognition has following steps:
(1). when operating personnel need to open identification lock, first be placed on the fingerprint head of human body double characteristic identification module by finger, the main control chip of fingerprint drive plate sends reading image instruction, and fingerprint drive plate reads finger print information, if return confirmation code 0x00, then enter next step; If the confirmation code returned is not 0x00, then judge again: if confirmation code is 0x02, then turns back to program entry and resend reading image instruction, if other confirmation code, then search for fingerprinting operation failure, quit a program;
(2). the main control chip of fingerprint drive plate continues to send the instruction of Computer image genration feature, if the confirmation code 0x00 returned, then enters next step; If other confirmation code, then search operation failure, quits a program;
(3). the main control chip of fingerprint drive plate continues to send search fingerprinting-instruction, if the confirmation code 0x00 returned, then shows the fingerprint having searched coupling in fingerprint base, now sends the positional information of coupling fingerprint to systematic master control board, quit a program; If returning confirmation code is not 0x00, then judge again: if confirmation code 0x09, then show not search the fingerprint matched, quit a program; If other confirmation code, then search operation failure, quits a program;
Second level face face recognition has following steps:
(1). face is aimed at the high-definition camera of human body double characteristic identification module by operating personnel, and high-definition camera obtains face facial information;
(2). judge whether successful conversion is 3D model to facial information, if success, then enter next step; Otherwise recognition of face operation failure, quits a program;
(3). continue to judge that whether face complexion Similarity Measure is correct, if correctly, then enter next step; Otherwise recognition of face operation failure, quits a program;
(4). continue to judge that whether face contour extraction is successful, if success, then enter next step; Otherwise recognition of face operation failure, quits a program;
(5). continue to judge that whether Face detection is successful, if success, then enter next step; Otherwise recognition of face operation failure, quits a program;
(6). continue to judge that whether face inner-con-tour extraction is successful, if success, then enter next step; Otherwise recognition of face operation failure, quits a program;
(7). continue to judge that in face, whether feature location is successful, if success, then enters next step; Otherwise recognition of face operation failure, quits a program;
(8). continue to judge the whether success of local feature coupling, if successfully, then successful match unblanking; Otherwise do not find coupling face characteristic, quit a program.
Human body double characteristic identification module of the present invention comprises systematic master control board, high-definition camera, fingerprint head, fingerprint drive plate and door lock drive plate; Wherein fingerprint head is connected with fingerprint drive plate, systematic master control board connects high-definition camera by RJ45 mouth, fingerprint drive plate is connected by USB port, several switching values of door lock drive plate are connected with systematic master control board respectively, and several switching values of door lock drive plate are connected with corresponding electromagnetic lock respectively.
The invention has the beneficial effects as follows: the situation that operating personnel's fingerprint can not gather all can appear in general Fingerprint Lock at this moment only have fingerprint this layer of safeguard procedures just can not provide good Consumer's Experience.After adding recognition of face, not only can improve the security of lockset, its blank can be made up simultaneously when fingerprint recognition is unavailable.Under normal circumstances, when operating personnel want to open lock, first finger is placed on fingerprint capturer and identifies fingerprint, again by the camera of facial alignment modules after fingerprint is correct, carry out face contour identification, then opened lock after face recognition is correct.When fingerprint None-identified, carry out face recognition, if face recognition by after also lock can be opened.Recognition of face be superior to fingerprint recognition, carry out the degree of protection that dual bio-identification improves lockset like this.
Accompanying drawing explanation
Fig. 1 is human body double characteristic identification module system chart of the present invention;
Fig. 2 is first order fingerprint recognition program flow diagram of the present invention;
Fig. 3 is the second level of the present invention face face recognition program flow diagram.
Embodiment
Below in conjunction with accompanying drawing, the present invention will be further described:
With reference to Fig. 1, for opening close product cabinet, need first to be placed on the fingerprint head 3 of human body double characteristic identification module by correctly pointing, fingerprint drive plate 6 reads finger print information, and template in the static fingerprint base in the information of reading and fingerprint drive plate 6 is contrasted, if the match is successful, its positional information is returned to systematic master control board 2 by USB interface, afterwards, systematic master control board 2 controls high-definition camera 1 and carries out collections also and face database comparison to opening the face characteristic information of people, if success, then systematic master control board 2 controls door lock drive plate 4 according to the positional information returned, the electromagnetic lock 5 of the corresponding cabinet door of each switching value.Such as, corresponding eight switching values of general eight close product cabinets, open the electromagnetic lock in the cabinet door of corresponding close product cabinet, thus after realizing being successfully completed human body double characteristic identifying, securely unlocking.
Fingerprint recognition is the first order identification measure of this method, and namely face recognition is that the second level of this method identifies measure, is also supplementary for of fingerprint recognition.
One. the idiographic flow (as shown in Figure 1, 2) of fingerprint recognition
1, the fingerprint of first acquisition operations personnel.Finger is placed on optical fingerprint collecting module based by operating personnel, the fingerprint of daemon software control module collector, and the information of reading is sent to systematic master control board by the USB port of systematic master control board, fingerprint drive plate by operating personnel's finger print information stored in the storage space of fingerprint identification module, by operating personnel's fingerprint stored in positional information return to systematic master control board, and stored in fingerprint database;
2, fingerprint recognition.When operating personnel need to open lock, first finger is placed on the fingerprint head of human body double characteristic identification module, the main control chip of fingerprint drive plate sends reading image instruction, fingerprint drive plate reads finger print information, and all fingerprints in the information of reading and fingerprint database are contrasted, if the match is successful, the fingerprint positions of these operating personnel number is sent to systematic master control board, and records the information of operating personnel.
Two. the idiographic flow (as shown in Figure 1,3) of face recognition
1, face is aimed at the high-definition camera of human body double characteristic identification module by operating personnel, wait for that a few second is after calculating completes, there is prompt tone face just can have left, high-definition camera obtains operating personnel's facial information, and operating personnel's facial information is sent to systematic master control board by the RJ45 mouth of systematic master control board, hardware program will get the facial information of personnel stored in buffer memory.
2, the personnel's facial information after obtaining the facial information of operating personnel and in database contrasts, and finds the facial information of coupling, person number is returned to daemon software through search all database, software inquiry database record, sends unlock command.
Human body double characteristic identification module is by optical ftngetpnnt acquisidon and identification, and the finger print information collected is passed back in background data base and stored.Generally background data base can deposit multiple fingerprints of a people, in case the function of fingerprint can normally use when certain finger is damaged.This module also adds face identification functions, the situation that can not gather with the fingerprint fuzzy of up operation personnel own.
Recognition of face mainly concentrates on two dimensional image aspect, and two-dimension human face identification mainly utilizes and to be distributed on face 80 nodes or punctuate from low to high, carries out authentication by the spacing measured between eyes, cheekbone, chin etc.The maximum deficiency of two-dimension human face recognition methods is comparatively fragile facing that attitude, illumination condition are different, in expression shape change and facial makeup etc., and the accuracy of identification is very limited, and these to be all face can show in its natural state at any time.Three-dimensional face identification can improve accuracy of identification greatly, and real three-dimensional face identification utilizes depth image research, and the present invention takes the algorithm isolating attitude from 3D structure.First dimensional profile and the three-dimensional space direction of face entirety is mated; Then, when keeping attitude fixing, the local matching of Qu Zuo face different characteristic point (these unique points manually identify).
After realizing face recognition, the protection of visual Fingerprint Lock is improve a degree of protection, strict place is managed for close product and just can use the visual Fingerprint Lock that degree of protection is high.
Claims (2)
1. the method utilizing human body double characteristic identification module to unblank, is characterized in that: the method comprises fingerprint recognition and face face recognition two stage recognition, and first order fingerprint recognition has following steps:
(1). when operating personnel need to open identification lock, first be placed on the fingerprint head of human body double characteristic identification module by finger, the main control chip of fingerprint drive plate sends reading image instruction, and fingerprint drive plate reads finger print information, if return confirmation code 0x00, then enter next step; If the confirmation code returned is not 0x00, then judge again: if confirmation code is 0x02, then turns back to program entry and resend reading image instruction, if other confirmation code, then search for fingerprinting operation failure, quit a program;
(2). the main control chip of fingerprint drive plate continues to send the instruction of Computer image genration feature, if the confirmation code 0x00 returned, then enters next step; If other confirmation code, then search operation failure, quits a program;
(3). the main control chip of fingerprint drive plate continues to send search fingerprinting-instruction, if the confirmation code 0x00 returned, then shows the fingerprint having searched coupling in fingerprint base, now sends the positional information of coupling fingerprint to systematic master control board, quit a program; If returning confirmation code is not 0x00, then judge again: if confirmation code 0x09, then show not search the fingerprint matched, quit a program; If other confirmation code, then search operation failure, quits a program;
Second level recognition of face has following steps:
(1). face is aimed at the high-definition camera of human body double characteristic identification module by operating personnel, and high-definition camera obtains face facial information;
(2). judge whether successful conversion is 3D model to facial information, if success, then enter next step; Otherwise recognition of face operation failure, quits a program;
(3). continue to judge that whether face complexion Similarity Measure is correct, if correctly, then enter next step; Otherwise recognition of face operation failure, quits a program;
(4). continue to judge that whether face contour extraction is successful, if success, then enter next step; Otherwise recognition of face operation failure, quits a program;
(5). continue to judge that whether Face detection is successful, if success, then enter next step; Otherwise recognition of face operation failure, quits a program;
(6). continue to judge that whether face inner-con-tour extraction is successful, if success, then enter next step; Otherwise recognition of face operation failure, quits a program;
(7). continue to judge that in face, whether feature location is successful, if success, then enters next step; Otherwise recognition of face operation failure, quits a program;
(8). continue to judge the whether success of local feature coupling, if successfully, then successful match unblanking; Otherwise do not find coupling face characteristic, quit a program.
2. a kind of method utilizing human body double characteristic identification module to unblank according to claim 1, is characterized in that: described human body double characteristic identification module comprises systematic master control board, high-definition camera, fingerprint head, fingerprint drive plate and door lock drive plate; Wherein fingerprint head is connected with fingerprint drive plate, systematic master control board connects high-definition camera by RJ45 mouth, fingerprint drive plate is connected by USB port, several switching values of door lock drive plate are connected with systematic master control board respectively, and several switching values of door lock drive plate are connected with corresponding electromagnetic lock respectively.
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Cited By (19)
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| CN105897763A (en) * | 2016-06-16 | 2016-08-24 | 汤美 | Internet education user verification method and system |
| CN106446652A (en) * | 2016-09-13 | 2017-02-22 | 青岛海信移动通信技术股份有限公司 | Mobile terminal unlocking method and mobile terminal unlocking device |
| CN106652112A (en) * | 2016-09-24 | 2017-05-10 | 成都创慧科达科技有限公司 | Intelligent multifunctional door lock, control system and control method |
| CN107558829A (en) * | 2017-08-31 | 2018-01-09 | 苏州惠华电子科技有限公司 | Logistics van theftproof lock based on fingerprint and recognition of face |
| CN107564152A (en) * | 2017-08-31 | 2018-01-09 | 苏州惠华电子科技有限公司 | A kind of logistics van theft preventing method |
| CN107590414A (en) * | 2016-07-06 | 2018-01-16 | 天津卓扬世纪集团有限公司 | A kind of multifunctional fingerprint identification device |
| CN107680210A (en) * | 2017-09-13 | 2018-02-09 | 罗洪翠 | The method of work of the fingerprint recognition circuit of remote anti-theft door |
| CN108154567A (en) * | 2017-12-26 | 2018-06-12 | 佛山市道静科技有限公司 | A kind of attendance checking system based on biological identification technology |
| WO2018194507A1 (en) | 2017-04-20 | 2018-10-25 | Fingerprint Cards Ab | Access control for access restricted domains using first and second biometric data |
| CN108765675A (en) * | 2018-08-02 | 2018-11-06 | 深圳阜时科技有限公司 | A kind of intelligent door lock and a kind of intelligent access control system |
| CN108806035A (en) * | 2018-05-08 | 2018-11-13 | 深圳市益鑫智能科技有限公司 | A kind of access control system based on block chain |
| CN108868352A (en) * | 2018-06-28 | 2018-11-23 | 浙江进家五金有限公司 | Intelligent fingerprint lock and its operating method |
| CN109523680A (en) * | 2018-12-20 | 2019-03-26 | 珠海格力电器股份有限公司 | Intelligent anti-theft door system and access control method, device |
| CN110073354A (en) * | 2016-12-21 | 2019-07-30 | 指纹卡有限公司 | The electronic equipment of biometric authentication for user |
| CN110362977A (en) * | 2018-04-10 | 2019-10-22 | 义隆电子股份有限公司 | Biological characteristic identification method and electronic device with biological characteristic identification function |
| CN111105538A (en) * | 2018-10-25 | 2020-05-05 | 杭州海康威视数字技术股份有限公司 | Door lock control method based on face recognition and door lock |
| CN111932754A (en) * | 2019-08-19 | 2020-11-13 | 北京戴纳实验科技有限公司 | Laboratory entrance guard verification system and verification method |
| CN115273279A (en) * | 2022-05-09 | 2022-11-01 | 深圳市麦驰信息技术有限公司 | Access control identification system and identification method |
| CN117037340A (en) * | 2023-09-06 | 2023-11-10 | 东莞市安邦德智能锁具科技有限公司 | Intelligent lock control system based on data identification |
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| CN106446652A (en) * | 2016-09-13 | 2017-02-22 | 青岛海信移动通信技术股份有限公司 | Mobile terminal unlocking method and mobile terminal unlocking device |
| CN106652112A (en) * | 2016-09-24 | 2017-05-10 | 成都创慧科达科技有限公司 | Intelligent multifunctional door lock, control system and control method |
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| CN107564152A (en) * | 2017-08-31 | 2018-01-09 | 苏州惠华电子科技有限公司 | A kind of logistics van theft preventing method |
| CN107558829A (en) * | 2017-08-31 | 2018-01-09 | 苏州惠华电子科技有限公司 | Logistics van theftproof lock based on fingerprint and recognition of face |
| CN107680210A (en) * | 2017-09-13 | 2018-02-09 | 罗洪翠 | The method of work of the fingerprint recognition circuit of remote anti-theft door |
| CN108154567A (en) * | 2017-12-26 | 2018-06-12 | 佛山市道静科技有限公司 | A kind of attendance checking system based on biological identification technology |
| CN110362977A (en) * | 2018-04-10 | 2019-10-22 | 义隆电子股份有限公司 | Biological characteristic identification method and electronic device with biological characteristic identification function |
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| CN108765675A (en) * | 2018-08-02 | 2018-11-06 | 深圳阜时科技有限公司 | A kind of intelligent door lock and a kind of intelligent access control system |
| CN111105538A (en) * | 2018-10-25 | 2020-05-05 | 杭州海康威视数字技术股份有限公司 | Door lock control method based on face recognition and door lock |
| CN109523680A (en) * | 2018-12-20 | 2019-03-26 | 珠海格力电器股份有限公司 | Intelligent anti-theft door system and access control method, device |
| CN111932754B (en) * | 2019-08-19 | 2021-12-28 | 北京戴纳实验科技有限公司 | Laboratory entrance guard verification system and verification method |
| CN111932754A (en) * | 2019-08-19 | 2020-11-13 | 北京戴纳实验科技有限公司 | Laboratory entrance guard verification system and verification method |
| CN115273279A (en) * | 2022-05-09 | 2022-11-01 | 深圳市麦驰信息技术有限公司 | Access control identification system and identification method |
| CN117037340A (en) * | 2023-09-06 | 2023-11-10 | 东莞市安邦德智能锁具科技有限公司 | Intelligent lock control system based on data identification |
| CN117037340B (en) * | 2023-09-06 | 2024-04-12 | 东莞市安邦德智能锁具科技有限公司 | Intelligent lock control system based on data identification |
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