CN202041967U - Palm vein and human face bimodal biological identification instrument - Google Patents
Palm vein and human face bimodal biological identification instrument Download PDFInfo
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- CN202041967U CN202041967U CN2011201084754U CN201120108475U CN202041967U CN 202041967 U CN202041967 U CN 202041967U CN 2011201084754 U CN2011201084754 U CN 2011201084754U CN 201120108475 U CN201120108475 U CN 201120108475U CN 202041967 U CN202041967 U CN 202041967U
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- 210000003462 vein Anatomy 0.000 title abstract description 10
- 230000002902 bimodal effect Effects 0.000 title abstract 3
- 230000015654 memory Effects 0.000 claims abstract description 6
- 230000003287 optical effect Effects 0.000 claims abstract description 6
- 230000001360 synchronised effect Effects 0.000 claims description 2
- 238000012545 processing Methods 0.000 abstract description 8
- 238000000034 method Methods 0.000 abstract description 5
- 238000003909 pattern recognition Methods 0.000 abstract description 3
- 238000004364 calculation method Methods 0.000 abstract 1
- 230000014509 gene expression Effects 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 3
- 230000001815 facial effect Effects 0.000 description 3
- 230000008033 biological extinction Effects 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
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- 238000010276 construction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000008034 disappearance Effects 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000005021 gait Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 210000000554 iris Anatomy 0.000 description 1
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- 238000012827 research and development Methods 0.000 description 1
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- 230000005236 sound signal Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
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Abstract
A palm vein and human face bimodal biological identification instrument belongs to the fields of optical instruments and pattern recognition, comprises a plurality of ARM (Advanced RISC Machines) processors, memories, a touch screen, optical filters and the like, and is a set of high-precision multi-biological-characteristic identification equipment. By adopting the connection control mode of the ARM processors (8, 9 and 10) and the ARM processor (11), the processing task of the main-control unit ARM processor (11) is shared, and the tasks in the identification process are divided more clearly to greatly speed up the identification, so that the problem of long identification time due to large calculation quantity of palm vein and human face identification is solved. The palm vein and human face bimodal biological identification instrument is simple and easy to use, has strong expansibility, and can be extensively applied to the occasions of staff registration, entrance guard, banks and the like.
Description
(1) technical field under
The utility model belongs to optical instrument and area of pattern recognition, mainly be based on the bi-mode biology collection apparatus equipment of near infrared light, use a plurality of arm processors, storer, touch-screen, optical filter etc., finally formed a kind of comprehensive living things feature recognition equipment.
(2) background technology
Biological identification technology is the computer security technique that developed rapidly in the world in recent years, and it utilizes Flame Image Process and pattern-recognition discriminating or identity verification according to human body biological characteristics such as people's face, fingerprint, voice, veins.Living things feature recognition is as a technology of utilizing human distinctive physiological characteristic (as fingerprint, people's face, iris, vein, retina etc.) or behavioural characteristic (as signature, sound, gait etc.) to carry out identification, have be difficult for losing, difficult forgery, uniqueness, characteristics easy to use, substituting traditional personal identification method gradually.
Although various human body biological characteristics all have advantage separately, but today of improving day by day for the accuracy and the security requirement of biological characteristic identification systems, each biological characteristic also can not have ubiquity truly, some inherent limitations in the single living creature characteristic recognition system have influenced accuracy, because wearing and tearing become seldom, face identification system is for the human body barment tag: distinguishing of hair, jewelry, ageing and monodidymus is then very difficult as the fingerprint characteristic of some people or some colony (for example gymnast).And these intrinsic restrictions are difficult to go to improve its accuracy again with algorithm, therefore only depend on single method or single creature feature to be difficult to satisfy practical application.So a plurality of biological characteristics are merged the identification of carrying out identity, are just becoming a kind of trend of research and development.
Because the bio-identification calculated amount is very big, biometric apparatus can only be discerned a kind of biological characteristic usually.Existing multi-modal biological recognition system is less, domestic people's face and the identification of hand shape that Northern Transportation University is arranged, external most equipment have been used fingerprint, voice, hand shape etc. equally, and some are easy to generate the biological characteristic of problems such as feature disappearance, poor anti-interference or accuracy of identification are not high, can't reach the precision of wanting.And the problem that multi-biological characteristic merges is exactly that calculated amount is big, identification real-time variation.
(3) summary of the invention
The technical matters that the utility model solves provides a kind of multi-modal high-precision living things feature recognition equipment, the thinking of taking chooses vena metacarpea exactly and two kinds of biological characteristics of people's face are discerned to satisfy high-precision requirement, and the structure of multiprocessor parallel connection is to reach the purpose that shortens recognition time.
In order to achieve the above object, the technical solution adopted in the utility model mainly comprises following module: the man face image acquiring module that is used to obtain people's face biological characteristic; Be used to obtain the palm vein image acquisition module of palm vein feature; Be used to drive the auxiliary processing module at touch-screen, voice, demonstration identification interface; Be used to coordinate and the main control unit module of administration module operation.Because first three module is separate, be parallel to each other, and each module all carried out certain pre-service to the data of collection, accelerated the travelling speed of total system greatly.
At first, the user needs palm is placed on the vena metacarpea acquisition module, and over against people's face acquisition module, this moment, the vena metacarpea acquisition module can be caught close palm automatically, and after the affirmation, the two-value palm vein image that pre-service is obtained is sent to the main control unit module, main control unit can be opened people's face acquisition module, people's face acquisition module work afterwards, the position of seeker's face in screen, and the position of people's face and the face-image of intercepting be sent to the main control unit module; Last main control unit is discerned processing to the vena metacarpea feature and the face characteristic that obtain, and recognition result is sent to auxiliary processing module, and the personal information of storing in the auxiliary processing module recalls information storehouse is presented on the touch-screen then.When personal information was registered, it was convenient easy-to-use then can to carry out man-machine interaction by the prompting of touch-screen.
(4) description of drawings
Fig. 1 is a system construction drawing of the present utility model.
Fig. 2 is the extinction characteristic of hemochrome.
Indicate the common IP Camera of 1,2,3 expressions among Fig. 1,4,5,6,7 expression synchronous dynamic random access memories, 8,9,10,11 expression arm processors, 12 expression touch-screens, 13 expression audio interface, 14 expression network interfaces, 15 expression flash memory Flash, wherein 1,4,8 constitute the man face image acquiring module, and 2,5,9 constitute the vena metacarpea image capture module, 3,6,10,12,13 constitute auxiliary processing module, and 7,11,14,15 constitute the main control unit module.
Below in conjunction with accompanying drawing, the utility model is described further:
(5) embodiment
When user's registration information, at first click the registration button of touch-screen, arm processor 10 in the auxiliary processing module sends a signal to the arm processor 11 in the main control unit module, arm processor 11 control arm processors 9 are started working then, gather the vena metacarpea image by camera 2, and call Preprocessing Algorithm, position, Refinement operation, obtain a width of cloth binaryzation and get the vena metacarpea image, and the result is back to arm processor 11, arm processor 11 is set up file and is deposited vena metacarpea information in flash memory 15 at this moment, and control arm processor 10 shows the information that the vena metacarpea collection is finished on touch-screen 12, the preparation of pointing out the face of trying to be a good fellow to gather, arm processor 11 control arm processors 8 are started working afterwards, the facial image that arm processor 8 obtains under the near infrared light by camera 1, behind the intercepting people face portion image, image information is sent to arm processor 11, arm processor 11 deposits image information in the file of setting up when vena metacarpea is gathered then, and the facial image under the normal light source of control arm processor 10 interceptings deposits in the file that the vena metacarpea collection is foundation equally, and show that on touch-screen 12 man face image acquiring finishes, prompting input accredited personnel's name and other information, registration at last finishes.
When discerning, personnel to be identified, at first palm is placed on the vena metacarpea acquisition camera 2, arm processor 9 can detect palm automatically, after the affirmation, to the vena metacarpea image that obtain be positioned, Refinement operation, and the vena metacarpea image after arm processor 11 sends processing, after arm processor 11 receives the vena metacarpea image, can bring into operation by control arm processor 8,8 of arm processors are called in people's face detection algorithm, detect people's face,, detect and then control arm processors 10 when undesired and on touch-screen 12, point out please over against camera by arm processor 11 if detect normal then the face-image of intercepting is sent to processor 11, until detecting people's face, the face-image that intercepts is sent to processor 11.After the information acquisition of people's face is finished, arm processor 11 calls recognizer, prestored message in the information obtained and the information bank flash memory 15 is compared, if conform to, then control arm processor 10 and show that identification finishes, send sound signal simultaneously, if do not conform to then point out the stranger, and by the voice prompt alarm signal, but open network interface 14 sent recognition result after identification was finished.
The main thought of hardware device that the utility model adopts is that parallel type is handled, and not only recognition time is short, the precision height, and be easy to use, extendability is strong, can be widely used in occasions such as personnel's registration, gate inhibition, bank.
Claims (4)
1. vena metacarpea and people's face bi-mode biology identifier, by USB free drive camera (1) (2) (3), synchronous dynamic random access memory SDRAM (4) (5) (6) (7), arm processor (8) (9) (10) (11), touch-screen (12), audio interface (13), network interface (14) and flash memory F1ash (15) form, it is characterized in that arm processor (8) (9) (10) is connected to arm processor (11), all be subjected to arm processor (11) control.
2. vena metacarpea as claimed in claim 1 and people's face bi-mode biology identifier, it is characterized in that: camera (1) is a USB free drive camera, adds the 850nm high-pass filter on the camera lens, and the annular light source of 850nm wavelength is arranged in the camera arranged around.
3. vena metacarpea as claimed in claim 1 and people's face bi-mode biology identifier, it is characterized in that: camera (2) is a USB free drive camera, adds the 760nm narrow band pass filter on the camera lens, and the annular light source of 760nm wavelength is arranged in the camera arranged around.
4. vena metacarpea as claimed in claim 1 and people's face bi-mode biology identifier, it is characterized in that: camera (3) is a USB free drive camera, and camera lens does not add optical filter, does not arrange additional source of light on every side
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011201084754U CN202041967U (en) | 2011-04-08 | 2011-04-08 | Palm vein and human face bimodal biological identification instrument |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011201084754U CN202041967U (en) | 2011-04-08 | 2011-04-08 | Palm vein and human face bimodal biological identification instrument |
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| CN202041967U true CN202041967U (en) | 2011-11-16 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN2011201084754U Expired - Fee Related CN202041967U (en) | 2011-04-08 | 2011-04-08 | Palm vein and human face bimodal biological identification instrument |
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| CN (1) | CN202041967U (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105224906A (en) * | 2014-05-27 | 2016-01-06 | 常熟安智生物识别技术有限公司 | Vena metacarpea identification intelligent system |
| CN107077615A (en) * | 2017-01-12 | 2017-08-18 | 厦门中控生物识别信息技术有限公司 | Fingerprint method for anti-counterfeit and equipment |
| CN107403174A (en) * | 2017-09-18 | 2017-11-28 | 成都折衍科技有限公司 | Vein fingerprint and face composite identification system |
| CN107480657A (en) * | 2017-09-19 | 2017-12-15 | 成都折衍科技有限公司 | Combined type safety distinguishing apparatus based on hand vein recognition |
| CN108090415A (en) * | 2017-11-24 | 2018-05-29 | 江西智梦圆电子商务有限公司 | A kind of identity comparison method identified based on face and vena metacarpea |
| WO2018176399A1 (en) * | 2017-03-31 | 2018-10-04 | 中控智慧科技股份有限公司 | Image collection method and device |
| CN108647672A (en) * | 2018-06-29 | 2018-10-12 | 张维先 | The palm vein identification system quickly identified can be achieved |
| CN111462379A (en) * | 2020-03-17 | 2020-07-28 | 广东网深锐识科技有限公司 | Access control management method, system and medium containing palm vein and face recognition |
| CN112668511A (en) * | 2020-12-31 | 2021-04-16 | 深兰盛视科技（苏州）有限公司 | Identity recognition method and device, electronic equipment and storage medium |
-
2011
- 2011-04-08 CN CN2011201084754U patent/CN202041967U/en not_active Expired - Fee Related
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105224906A (en) * | 2014-05-27 | 2016-01-06 | 常熟安智生物识别技术有限公司 | Vena metacarpea identification intelligent system |
| CN105224906B (en) * | 2014-05-27 | 2020-08-11 | 苏州肯谱瑞力信息科技有限公司 | Palm vein recognition intelligent system |
| CN107077615A (en) * | 2017-01-12 | 2017-08-18 | 厦门中控生物识别信息技术有限公司 | Fingerprint method for anti-counterfeit and equipment |
| WO2018176399A1 (en) * | 2017-03-31 | 2018-10-04 | 中控智慧科技股份有限公司 | Image collection method and device |
| US10984267B2 (en) | 2017-03-31 | 2021-04-20 | Zkteco Usa Llc | Method and system for imaging acquisition |
| CN107403174A (en) * | 2017-09-18 | 2017-11-28 | 成都折衍科技有限公司 | Vein fingerprint and face composite identification system |
| CN107480657A (en) * | 2017-09-19 | 2017-12-15 | 成都折衍科技有限公司 | Combined type safety distinguishing apparatus based on hand vein recognition |
| CN108090415A (en) * | 2017-11-24 | 2018-05-29 | 江西智梦圆电子商务有限公司 | A kind of identity comparison method identified based on face and vena metacarpea |
| CN108647672A (en) * | 2018-06-29 | 2018-10-12 | 张维先 | The palm vein identification system quickly identified can be achieved |
| CN111462379A (en) * | 2020-03-17 | 2020-07-28 | 广东网深锐识科技有限公司 | Access control management method, system and medium containing palm vein and face recognition |
| CN112668511A (en) * | 2020-12-31 | 2021-04-16 | 深兰盛视科技（苏州）有限公司 | Identity recognition method and device, electronic equipment and storage medium |
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20111116 Termination date: 20120408 |