CN205354146U - Human dual feature recognition module - Google Patents
Human dual feature recognition module Download PDFInfo
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- CN205354146U CN205354146U CN201521036482.2U CN201521036482U CN205354146U CN 205354146 U CN205354146 U CN 205354146U CN 201521036482 U CN201521036482 U CN 201521036482U CN 205354146 U CN205354146 U CN 205354146U
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Abstract
The utility model discloses a human dual feature recognition module. This module includes system's main control board, high definition digtal camera, fingerprint head, fingerprint drive plate and lock drive plate. After human dual feature recognition module added face identification function, the security that not only can improve the tool to lock can not can compensate its blank simultaneously the time spent as fingerprint identification. Under the normal condition, work as operating personnel and want to open the lock, at first put the finger and discern the fingerprint on fingerprint sampler, aim at the face camera of module after the fingerprint is correct again, carry out facial contour recognition, then open the lock after facial discernment is correct. When the unable discernment of fingerprint, carry out face discernment, as long as facial discernment also can be opened the lock after through. Face identification's rank is higher than fingerprint identification, carries out the protection level that dual biological identification has improved the tool to lock like this.
Description
Technical field
This utility model relates to characteristics of human body's coded lock, particularly to a kind of human body double characteristic identification module.
Background technology
Coded lock currently on the market is generally finger-print puzzle lock, is based on the somatic fingerprint identification in bio-identification, can open lockset after user 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 is all to have been achieved for huge progress in the data acquisition of front end or on the algorithm for recognizing fingerprint of rear end.Automated Fingerprint Identification System (AutomaticFingerprintIdentificationSystem, it is called for short AFIS) it is by special photoelectric conversion device and computer image processing technology, living body finger print is acquired, analyzes and comparison, it is possible to automatically, quickly and accurately identify personal identification.May be generally divided into " off-line part " and " online part " two parts.Wherein off-line part includes gathering fingerprint with fingerprint collecting device, extract minutiae point, minutiae point being saved in data base and form the key steps such as fingerprint template storehouse.Online part include with fingerprint collecting device gather fingerprint, extract minutiae point, then by these minutiae point be saved in data base template minutiae point and mate, it is judged that whether input minutiae point and template minutiae point from the fingerprint of same finger.In general, processed offline allows artifact to get involved, and can manually adjust systematic parameter as required, and online treatment should be automatically performed 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 provide the enough features for differentiating；2, the speed 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, use the finger mark that all can leave user during fingerprint recognition on fingerprint collecting head every time, and these finger marks exist the probability being used to replicate fingerprint；Fingerprint Lock on the market is also mostly optical fingerprint acquisition instrument, and the impression of such fingerprint is likely replicated by other people, is used for opening Fingerprint Lock.3, finger dries or humidity all can affect the accuracy rate of fingerprint recognition.
Summary of the invention
In view of above-mentioned prior art Problems existing, this utility model provides a kind of human body double characteristic identification module.Human body double characteristic identification module is to add face features recognition function on fingerprint identification module basis, carries out dual bio-identification to improve the degree of protection of lockset.
This utility model adopts the technical scheme that: a kind of human body double characteristic identification module, it is characterised in that: this module includes systematic master control board, high-definition camera, fingerprint head, fingerprint driving plate and door lock and drives plate；Wherein fingerprint head drives plate to be connected with fingerprint, systematic master control board connects high-definition camera by RJ45 mouth, connecting fingerprint by USB port and drive plate, door lock drives several switching values of plate to be connected with systematic master control board respectively, and door lock drives several switching values of plate to be connected with corresponding electromagnetic lock respectively.
The beneficial effects of the utility model are: the situation that operator's fingerprint can not gather all can occur in general Fingerprint Lock, and at this moment only have this layer of safeguard procedures of fingerprint cannot provide good Consumer's Experience.After human body double characteristic identification module adds face identification functions, it is possible not only to improve the safety of lockset, its blank can be made up simultaneously when fingerprint recognition is unavailable.Under normal circumstances, when operator want to open lock, first place a finger on identification fingerprint on fingerprint capturer, again by the photographic head of face alignment modules after fingerprint is correct, carry out face contour identification, after facial recognition is correct, then open lock.When fingerprint None-identified, carry out facial recognition, if facial recognition by after also lock can be opened.Recognition of face be superior to fingerprint recognition, so carry out dual bio-identification and improve the degree of protection of lockset.
Accompanying drawing explanation
Fig. 1 is human body double characteristic identification module system block diagram of the present utility model；
Fig. 2 is this utility model first order fingerprint recognition program flow diagram；
Fig. 3 is this utility model second level face facial recognition program flow diagram.
Detailed description of the invention
Below in conjunction with accompanying drawing, this utility model is described further:
With reference to Fig. 1, it is intended to open close product cabinet, need first to be placed on by correct finger on the fingerprint head 3 of human body double characteristic identification module, fingerprint drives plate 6 to read finger print information, and drive template in the static fingerprint base in plate 6 to contrast in the information of reading and fingerprint, 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 control high-definition camera 1 to open people face characteristic information be acquired and with face database comparison, if success, then systematic master control board 2 controls door lock driving 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 identification process, securely unlocking.
Utilizing human body double characteristic identification module to realize method for unlocking and include fingerprint recognition and face facial recognition two stage recognition, see figures.1.and.2, first order fingerprint recognition has following steps:
(1). when operator need to open identification lock, first placing a finger on the fingerprint head of human body double characteristic identification module, fingerprint drives the main control chip of plate to send reading image instruction, and fingerprint drives plate to read finger print information, if returning confirmation code 0x00, then enter next step；If the confirmation code returned is not 0x00, then judging: if confirmation code is 0x02, then returns to program entry and resend reading image instruction, if other confirmation code, then the failure of search fingerprinting operation, quits a program again；
(2). fingerprint drives the main control chip of plate to continue to send image and generates feature instruction, if the confirmation code 0x00 of return, then enters next step；If other confirmation code, then search operation failure, quits a program；
(3). fingerprint drives the main control chip of plate to continue to send search fingerprinting-instruction, if the confirmation code 0x00 of return, then shows to have searched the fingerprint of 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；
With reference to Fig. 1 and Fig. 3, second level face facial recognition has following steps:
(1). face is directed at the high-definition camera of human body double characteristic identification module by operator, 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.
Fingerprint recognition is the first order identification measure utilizing human body double characteristic identification module to realize method for unlocking, and namely facial recognition is utilize the second level that human body double characteristic identification module realizes method for unlocking to identify measure, and one also for fingerprint recognition is supplemented.
One. the idiographic flow (as shown in Figure 1, 2) of fingerprint recognition
1, the fingerprint of first acquisition operations personnel.Operator place a finger on optical fingerprint collecting module based, daemon software controls the fingerprint of module collector, and the information of reading is sent to systematic master control board by the USB port of systematic master control board, fingerprint drives plate to be stored in the memory space of fingerprint identification module by operator's finger print information, the positional information that operator's fingerprint is stored in is returned to systematic master control board, and is stored in fingerprint database；
2, fingerprint recognition.When operator need to open lock, first place a finger on the fingerprint head of human body double characteristic identification module, fingerprint drives the main control chip of plate to send reading image instruction, fingerprint drives plate to read finger print information, and the information of reading is contrasted with all fingerprints in fingerprint database, if the match is successful, the fingerprint positions number of these operator is sent to systematic master control board, and records the information of operator.
Two. the idiographic flow (as shown in Figure 1,3) of facial recognition
1, face is directed at the high-definition camera of human body double characteristic identification module by operator, wait several seconds for clock after calculating completes, prompt tone face is had just to may exit off, high-definition camera obtains operator's facial information, and operator's facial information is sent to systematic master control board by the RJ45 mouth of systematic master control board, the facial information getting personnel is stored in buffer memory by hardware program.
2, the personnel's facial information after obtaining the facial information of operator and in data base contrasts, and finds the facial information of coupling through search all database, person number returns to daemon software, software inquiry data base record, sends order of unblanking.
Human body double characteristic identification module passes through 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 during certain finger breakage.This module is also added into face identification functions, with the situation that the fingerprint fuzzy of up operation personnel own can not gather.
Recognition of face is concentrated mainly on two dimensional image aspect, and two-dimension human face identification mainly utilizes and is distributed on face 80 nodes or punctuate from low to high, carries out authentication by measuring the spacing between eyes, cheekbone, chin etc..The maximum deficiency of two-dimension human face recognition methods is comparatively fragile facing that attitude, illumination condition be 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 is to utilize depth image to study, and this utility model takes to isolate the algorithm of attitude from 3D structure.First the overall dimensional profile of face and three-dimensional space direction are mated；Then, when keeping attitude fixing, the local matching of Qu Zuo face different characteristic point (these characteristic points manually identify).
After realizing facial recognition, the protection of visual Fingerprint Lock is improve a degree of protection, strict place is managed for close QC and just can use the visual Fingerprint Lock that degree of protection is high.
Claims (1)
1. a human body double characteristic identification module, it is characterised in that: this module includes systematic master control board, high-definition camera, fingerprint head, fingerprint driving plate and door lock and drives plate；Wherein fingerprint head drives plate to be connected with fingerprint, systematic master control board connects high-definition camera by RJ45 mouth, connecting fingerprint by USB port and drive plate, door lock drives several switching values of plate to be connected with systematic master control board respectively, and door lock drives several switching values of plate to be connected with corresponding electromagnetic lock respectively.
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| CN201521036482.2U CN205354146U (en) | 2015-12-14 | 2015-12-14 | Human dual feature recognition module |
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| CN201521036482.2U CN205354146U (en) | 2015-12-14 | 2015-12-14 | Human dual feature recognition module |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106157412A (en) * | 2016-07-07 | 2016-11-23 | 浪潮电子信息产业股份有限公司 | A kind of personnel's access system and method |
| CN107369231A (en) * | 2017-06-29 | 2017-11-21 | 山东千沐云物联科技股份有限公司 | A kind of smart lock control method and device |
| CN107481380A (en) * | 2017-08-30 | 2017-12-15 | 宜昌市微特电子设备有限责任公司 | Lifting safety monitoring system and its control method with face and fingerprint bio feature recognition |
| CN112448955A (en) * | 2020-11-26 | 2021-03-05 | 陈洋 | Identity recognition method and device based on network security |
| WO2022237546A1 (en) * | 2021-05-11 | 2022-11-17 | 天地融科技股份有限公司 | Method for offline authentication of variable biometric features, device, and system |
-
2015
- 2015-12-14 CN CN201521036482.2U patent/CN205354146U/en active Active
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106157412A (en) * | 2016-07-07 | 2016-11-23 | 浪潮电子信息产业股份有限公司 | A kind of personnel's access system and method |
| CN107369231A (en) * | 2017-06-29 | 2017-11-21 | 山东千沐云物联科技股份有限公司 | A kind of smart lock control method and device |
| CN107369231B (en) * | 2017-06-29 | 2023-09-12 | 山东千沐云物联科技股份有限公司 | Intelligent lock control method and device |
| CN107481380A (en) * | 2017-08-30 | 2017-12-15 | 宜昌市微特电子设备有限责任公司 | Lifting safety monitoring system and its control method with face and fingerprint bio feature recognition |
| CN107481380B (en) * | 2017-08-30 | 2023-07-18 | 宜昌市微特电子设备有限责任公司 | Lifting safety monitoring system with face and fingerprint biological feature recognition and control method thereof |
| CN112448955A (en) * | 2020-11-26 | 2021-03-05 | 陈洋 | Identity recognition method and device based on network security |
| CN112448955B (en) * | 2020-11-26 | 2022-04-29 | 陈洋 | Identity recognition method and device based on network security |
| WO2022237546A1 (en) * | 2021-05-11 | 2022-11-17 | 天地融科技股份有限公司 | Method for offline authentication of variable biometric features, device, and system |
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