CN104598797A - Authentication device and authentication method with combination of face recognition, face vein authentication and finger vein authentication - Google Patents
Authentication device and authentication method with combination of face recognition, face vein authentication and finger vein authentication Download PDFInfo
- Publication number
- CN104598797A CN104598797A CN201510074651.XA CN201510074651A CN104598797A CN 104598797 A CN104598797 A CN 104598797A CN 201510074651 A CN201510074651 A CN 201510074651A CN 104598797 A CN104598797 A CN 104598797A
- Authority
- CN
- China
- Prior art keywords
- information
- finger
- facial
- face
- characteristic information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 210000003462 vein Anatomy 0.000 title claims abstract description 134
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000001815 facial effect Effects 0.000 claims description 94
- 238000003384 imaging method Methods 0.000 claims description 22
- 238000003331 infrared imaging Methods 0.000 claims description 20
- 230000008878 coupling Effects 0.000 claims description 18
- 238000010168 coupling process Methods 0.000 claims description 18
- 238000005859 coupling reaction Methods 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 18
- 230000005540 biological transmission Effects 0.000 claims description 11
- 238000010606 normalization Methods 0.000 claims description 8
- 238000007500 overflow downdraw method Methods 0.000 claims description 8
- 230000019552 anatomical structure morphogenesis Effects 0.000 claims description 4
- 206010044074 Torticollis Diseases 0.000 claims description 3
- 208000018197 inherited torticollis Diseases 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 230000004927 fusion Effects 0.000 claims description 2
- 230000008447 perception Effects 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 description 9
- 230000000694 effects Effects 0.000 description 4
- 238000005286 illumination Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 210000004204 blood vessel Anatomy 0.000 description 2
- 210000000988 bone and bone Anatomy 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 239000003550 marker Substances 0.000 description 2
- 210000000282 nail Anatomy 0.000 description 2
- 238000005498 polishing Methods 0.000 description 2
- 230000003542 behavioural effect Effects 0.000 description 1
- 208000010877 cognitive disease Diseases 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 210000001097 facial muscle Anatomy 0.000 description 1
- 210000004905 finger nail Anatomy 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 235000019633 pungent taste Nutrition 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- 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
- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Collating Specific Patterns (AREA)
- Image Input (AREA)
Abstract
The invention discloses an authentication device with combination of face recognition, face vein authentication and finger vein authentication. The authentication device comprises a face recognition device, a finger vein characteristic information acquisition device, a face vein characteristic information acquisition device as well as a platform body, wherein the face vein characteristic information acquisition device is connected with the finger vein characteristic information acquisition device. A characteristic matching group of the authentication method comprises finger vein characteristic information with angle information, and simultaneously acquired face recognition characteristic information and face vein characteristic information. The authentication device and the authentication method are relatively high in security and practicability, and the authentication precision is improved.
Description
Technical field
What the present invention relates to is a kind of technical field utilizing biological characteristic to carry out identification and certification, particularly the authenticate device that combines with finger vena identification of a kind of face recognition, facial vena identification and authentication method.
Background technology
Traditional identity recognizing technology generally has two kinds: one to be the authentication of identity-based marker, such as key, I.D., card etc., another kind is the authentication of identity-based mark knowledge, as password, Subscriber Number etc., but both there is the defect that cannot go beyond, marker is easily lost and forged, mark knowledge is easily forgotten and misremembers, if it is a risk that jactitator obtains these markers or identification information, the right the same with real owner will be had.Social desirability can not be met completely based on traditional safety practices such as password, PIN (Personal Identification Number), magnetic card and keys.Under such background, people have invested biometrics identification technology sight---and the physiological characteristic utilizing human body intrinsic or behavioural characteristic are to carry out discriminating or the confirmation of identity.In prior art, common biometrics identification technology such as comprises fingerprint recognition, recognition of face etc., fingerprint recognition can be subject to a lot of restriction, the unexpected change of inevitable finger skin can affect the effect of fingerprint recognition, in addition, the fingerprint of groups of people or some colony, because feature is less, is therefore difficult to imaging, and there is finger wear or finger pollution etc. and cause degree of accuracy to be affected; In addition, the profile of face 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, in addition, face recognition 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.Difference between face recognition Different Individual is little, and the structure of all faces is all similar, and even the construction profile of face organ is all very similar, and it is disadvantageous for distinguishing human individual for utilization face.
The finger vena identification technology that the basis of above-mentioned biometrics identification technology is developed starts to occur in recent years, and it is a kind of new biometrics identification technology, and it utilizes the vein distributed image in finger to carry out identification.During identification, contact is few even need not contact, and does not have fingertip surface features by the danger of third party's fraudulent copying; The feature of just existence when what system obtained is finger live body, the finger of non-living body can not get vein image feature, thus also just cannot to fake but hand back vein still may change along with age and physiological change, permanently not yet to be confirmed, although possibility is less, but still exist cannot successful registration registration possibility.Thus from current authentication method, there is certification degree not high, cause appearance that is dangerous or other problem.And the damage of finger surface, wearing and tearing, drying or too wet etc. also can bring cognitive disorders, make the precision of certification and accuracy be affected.Do not consider in prior art in addition to point the impact that brings certification of angle, make verification process there is precision and accuracy is affected.
Summary of the invention
The present invention is intended to solve above-mentioned technical matters, proposes a kind ofly to have the shortcoming overcoming current biometrics identification technology, makes authenticate device can have higher security and practicality, and improves the precision of certification.The present invention, in order to solve the problems of the technologies described above, can be realized by following mode.
The authenticate device that employing face recognition provided by the invention, facial vena identification combine with finger vena identification comprises: finger vein features information collecting device and connected facial vein pattern information collecting device and face recognition device, this authenticate device also comprises characteristic information storage unit, data processing division, matching characteristic information comparison portion, controller and IO interface in addition.Wherein finger vein features information collecting device is responsible for the information gathering finger vena identification needs, and facial vein pattern information collecting device gathers the information that facial hand vein recognition needs, and face feature information harvester gathers the information that face recognition needs.The information that the face recognition that above-mentioned face recognition device gathers needs, the information that the information of finger vena identification needs of finger vein features information collecting device collection and the facial hand vein recognition of facial vein pattern information collecting device collection need is saved in characteristic information storage unit, characteristic information comparison portion transfers corresponding biological information from above-mentioned characteristic information storage unit and compares, this characteristic information comparison portion comprises image extraction unit and sample data storage unit, image extraction unit its by the face feature information of real-time reception, finger vein features information, face vein pattern information also carries out analyzing and processing, extract the eigenwert of authenticator, sample data cell stores has the face feature information of the authenticator gathered in advance obtained by IO interface, finger vein features information and facial vein pattern information.In addition, above-mentioned IO interface also can be connected to the network, to be further connected with long-range master server, carries out the transmission of data message or the checking of authentication information, can schedule backup, can with the seamless connection of WIS database.
Above-mentioned face feature information harvester comprises facial specific features information collecting device, image processing apparatus, facial information communication module and image-display units, wherein face feature information harvester is provided with power switch, when authenticator needs to carry out characteristic information certification, mode by opening switch is carried out, also human body sensor can be set, when certification people is near this device, authenticate device enters open state automatically, camera be connected face's specific features information collecting device respectively, image-display units connects, face specific features information collecting device is connected with image processing apparatus, image processing apparatus is connected with facial information communication module again, face specific features information collecting device is preferably infrared camera.
Above-mentioned finger vein features information collecting device comprises housing, the first infrared imaging light source, the first infreared imaging device, finger position sensor, finger angular transducer, finger placement rack, its middle shell is provided with power switch, when authenticator needs to carry out characteristic information certification, mode by opening switch is carried out, also human body sensor can be set, when certification people is near this device, authenticate device enters open state automatically, the center section of housing is provided with one for stretching into the semi-circular hole of finger, position just to finger placement rack in the middle of semi-circular hole inner top is provided with many row's infrared imaging light sources, when lambda1-wavelength is at 720 nm to 1100 nm, bone and muscle can be penetrated preferably, show out blood vessel structure especially, this wavelength coverage belongs near infrared light.By the Comparability test of the infrared light supply of some groups of different wave lengths, we find that wavelength is that the infrared light of 810 nm has better contrasting effects, and image is more clear.In scheme selection, preferred use two groups of wavelength are all 810 nm, and can both divide into groups to control, the continuously adjustable infrarede emitting diode of brightness is as the polishing light source of vein image, in order to obtain good picture quality, infrared LED luminotron head can be cut into plane and polish, before adopting scattering sheet to be installed at the first infrared light supply, to obtain uniform discrete infrared light; Two finger angular transducers are respectively arranged with in every side of the both sides of semi-circular hole madial wall, the set-up mode of two finger angular transducers of every side is arrange a finger angular transducer in the both sides of the horizontal level concordant with finger placement rack, respectively arranges one point angle sensor in the both sides that the horizontal position concordant with finger placement rack is set to miter angle place.The placed angle of the finger extend in semi-circular hole housing is detected by described finger angular transducer, the method of test is detected the angle of finger nail by four finger angular transducers, namely the top of nail radian and the angle of surface level is detected by four finger angular transducers, determine to point the placed angle relative to finger placement rack surface level by this angle, judge the more specific location information of the finger extend in semi-circular hole housing, after determined the placed angle of finger relative to finger placement rack surface level, carry out the collection of finger vein features information again, described first infrared imaging light source is used for the illumination of finger vena, an infrared fileter and a reverse infrared filter is provided with before first infreared imaging device, for reflects infrared light and transmission visible red, computer processing system is connected with the first described infreared imaging device by data transmission interface, the characteristic quantity of the finger vein features information with finger angle extracted from the image that the first infreared imaging device exports, and above-mentioned characteristic quantity is input to data processing division.
Face vein pattern information collecting device is connected with the harvester of finger vein features information, and its septum reset vein pattern information collecting device comprises shell, the second infrared imaging light source, the second infreared imaging device, facial positions sensor, head position judgment means, sound prompt device, facial vein pattern information comparison device and data transmission interface.Shell comprises left plate, right plate and front plate, the two ends of front plate that what left plate, right plate were parallel to each other be arranged on and vertical with front plate respectively, and the area of space that wherein left plate, right plate and front are formed is the collection of head vein characteristic information; Left plate is provided with two and ranked second infrared imaging light source, right plate is provided with the second infreared imaging device, front plate is provided with facial positions sensor, front plate also can be provided with human body sensor simultaneously, when certification human body head can near this device time, authenticate device enters open state automatically.When lambda1-wavelength is at 720 nm to 1100 nm, can penetrate bone and facial muscles preferably, show out facial blood vessel structure especially, this wavelength coverage belongs near infrared light.By the Comparability test of the infrared light supply of some groups of different wave lengths, we find that wavelength is that the infrared light of 850 nm has better contrasting effects, and facial vein image is more clear.In scheme selection, preferred use two groups of wavelength are all 850 nm, and can both divide into groups to control, the continuously adjustable infrarede emitting diode of brightness is as the polishing light source of vein image, in order to obtain good picture quality, infrared LED luminotron head can be cut into plane and polish, before adopting scattering sheet to be installed at infrared light supply, to obtain uniform discrete infrared light.What described second infreared imaging device adopted is hotness imaging camera head, carries out infrared scan to the face of user, facial positions sensor setting is in front plate, when authenticator enters induction region and makes facial vein pattern information collecting device enter duty, the image taken by facial positions sensor judges head, and whether front is in the face of front plate, namely judge that whether head position has deflection relative to front plate or bow, torticollis phenomenon occurs, if be judged as that the head of authenticator does not have front in the face of front plate through the image of facial positions sensor shooting, then head position judgment means sends signal to sound prompt device, control sound prompt device is sounded and is informed authenticator's moving-head position, then the head photo of authenticator taken again by facial positions sensor, again through the judgement of head position judgment means, until judged result is that head front is when front plate, sound prompt device sends prompting, authenticator is reminded to stop headwork, start to carry out facial vein pattern information acquisition.Described second infrared imaging light source is used for the illumination of facial vein, is provided with an infrared fileter and reverse infrared filter, for reflects infrared light and transmission visible red before the second infreared imaging device; Computer processing system is connected with the second described infreared imaging device by data transmission interface, the characteristic quantity with facial vein pattern information extracted from the image that the second infreared imaging device exports, and above-mentioned characteristic quantity is also input to data processing division.
The authenticate device combined with finger vena identification at employing face recognition of the present invention, facial vena identification carries out in the method for certification, the eigenwert of the authenticator of the authenticate device collection that this adopts face recognition, facial vena identification combines with finger vena identification is compared with the face feature information of the authenticator gathered in advance, finger vein features information and facial vein pattern information, and the result of comparison is sent to master controller; Master controller is connected with characteristic information comparison portion, the authenticate device that master controller controls employing face recognition of the present invention according to the comparison result signal in characteristic information comparison portion, facial vena identification combines with finger vena identification sends or shows comparison result, whether passes through certification to inform; In addition, above-mentioned IO interface also can be connected to the network, to be further connected with long-range master server, carries out the transmission of data message or the checking of authentication information, can schedule backup, can with the seamless connection of WIS database.
Accompanying drawing explanation
The structural representation of the authenticate device that Fig. 1 is employing face recognition of the present invention, facial vena identification combines with finger vena identification.
The structural representation of the finger vena identification division of the authenticate device that Fig. 2 is face recognition of the present invention, facial vena identification combines with finger vena identification.
The face recognition of the authenticate device that Fig. 3 is face recognition of the present invention, facial vena identification combines with finger vena identification, the structural representation of facial hand vein recognition part.
Embodiment
Below in conjunction with accompanying drawing, by the description to concrete embodiment, the effect and principle of work etc. of the specific embodiment of the present invention as the mutual alignment between the shape of involved each component, structure, each several part and annexation, each several part are described in further detail.
Fig. 1-3 is face recognition of the present invention, the structural representation of the authenticate device that face vena identification combines with finger vena identification, according to corresponding accompanying drawing, it comprises face recognition device 1, finger vein features information collecting device 2 and the facial vein pattern information collecting device 3 be connected with finger vein features information collecting device 2, this authenticate device also comprises stage body 4 in addition, wherein characteristic information storage unit, data processing division, matching characteristic information comparison portion, controller is all arranged at the inside of this stage body 4, the sidepiece of this stage body 4 is provided with IO interface 5, the front portion of this stage body 4 is provided with input keyboard 6.Finger vein features information collecting device 2 is arranged on the surface of stage body 4, comprise housing 21, first infrared imaging light source 22, first infreared imaging device 23, finger angular transducer 24, finger placement rack 25, its middle shell is provided with power switch or human body sensor, when certification people is near this device, authenticate device enters open state automatically, the center section of housing 21 is provided with one for stretching into the semi-circular hole of finger, finger placement rack 25 is arranged in above-mentioned semi-circular hole, position just to finger placement rack in the middle of semi-circular hole inner top is provided with and ranked first infrared imaging light source 22 more, two finger angular transducers 24 are respectively arranged with in the first infrared imaging light source 22 both sides of semi-circular hole madial wall, in the both sides of the horizontal level concordant with finger placement rack 25, a finger angular transducer is respectively set, point angle sensor respectively arranging one with the both sides that the concordant horizontal position of finger placement rack is set to miter angle place, the transmitting device be connected with the characteristic information storage unit in stage body 4, data processing division, matching characteristic information comparison portion, controller is provided with bottom housing 21.Face vein pattern information collecting device 3 comprises facial vein pattern information collecting device shell 34, second infrared imaging light source 35, second infreared imaging device 36, head position judgment means 38, sound prompt device 39.Face vein pattern information collecting device shell 34 comprises left plate, right plate and front plate, the two ends of front plate that what left plate, right plate were parallel to each other be arranged on and vertical with front plate respectively, the area of space that wherein left plate, right plate and front are formed is the collection of head vein characteristic information; Left plate is provided with two and ranked second infrared imaging light source 35, right plate is provided with the device 1 of the second infreared imaging device 36 and face recognition, the device 1 of above-mentioned face recognition is preferably camera 37, front plate is also provided with the whether close human body sensor of perception authenticator simultaneously, in base, is provided with the transmitting device be connected with the characteristic information storage unit in stage body 4, data processing division, matching characteristic information comparison portion, controller in addition.
In addition, the IO interface 5 of the authenticate device that face recognition of the present invention, facial vena identification combine with finger vena identification and input keyboard 6 can carry out the transmission of interior external information, and above-mentioned IO interface 5 also can be connected to the network, to be further connected with long-range master server, carry out the transmission of data message or the checking of authentication information, can schedule backup, can with the seamless connection of WIS database.
Utilize face recognition of the present invention, procedure that authenticate device that facial vena identification combines with finger vena identification carries out certification comprise following content:
First be authenticator's identity enrollment process, to the face feature information of the specific people of certification, finger vein features information and facial vein pattern information be needed to register warehouse-in at first, the finger vein features information gathered in this enrollment process comprises the information pointing multiple angle, allow finger rotate when registering, gather continuous multiple angle finger vein features information, and the above-mentioned finger vein features information containing angle information is input to characteristic information storage unit, the facial vein pattern information that the facial vein pattern information simultaneously gathered in this enrollment process is gathered when comprising the front angle determined by facial positions sensor, after sound prompt device prompting position is correct, carries out the collection of facial vein pattern information, and the facial vein pattern information of above-mentioned collection is input to characteristic information storage unit, also comprise the face recognition characteristic information of the camera collection gathered by facial information in addition, after above-mentioned three kinds of characteristic information collections terminate, the face recognition characteristic information obtained will be gathered in characteristic information storage unit, finger vein features information and facial vein pattern information form real-time face recognition characteristic information at data processing division, finger vein features information and facial vein pattern information matches group, this coupling group includes finger vein features information with angle information and the face recognition characteristic information that simultaneously gathers, face vein pattern information, the method forming coupling group includes the shape of finger vena, direction and face recognition characteristic information, the information such as the shape of face vein pattern, in order to improve matching precision, before data fusion, by data normalization method below, these characteristics are carried out to the standardization of match information:
a’=(a-c)/σ
Wherein a is the coupling mark of vein shape, direction character, face shape feature, the average of c and σ representative coupling mark a and variance, then using the standardized data a ' that the obtains input data as fusion method.
Above-mentioned data normalization method is wherein utilized to carry out data normalization to facial feature data, finger vein features and facial vein pattern, obtain facial feature data, finger vein features normal data and facial vein pattern normal data, then face recognition characteristic standard data and two kinds of characteristic standard data are passed through Weighted Fusion method morphogenesis characters information matches group.
Next is verification process, when authenticator needs to carry out characteristic information certification, by opening switch or making authenticate device automatically enter open state by the mode of human body sensor, finger stretches into the semi-circular hole of housing, the collecting part of finger vein features information enters finger vein features information acquisition process, meanwhile, face recognition device and facial vein pattern information acquisition part also enter the gatherer process of facial identifying signature and facial vein pattern information.First, the placement information of the finger extend in semi-circular hole housing is detected by described finger angular transducer, namely the top of nail radian and the angle of surface level is detected by four finger angular transducers, determine to point the placed angle information relative to finger placement rack surface level by this angle, simultaneously, whether front is in the face of front plate to judge head by facial positions sensor, namely judge that whether head position has deflection relative to front plate or bow, torticollis phenomenon occurs, if be judged as that the head of authenticator does not have front in the face of front plate through the image of facial positions sensor shooting, then head position judgment means sends signal to sound prompt device, control sound prompt device is sounded and is informed authenticator's moving-head position, then the head photo of authenticator taken again by facial positions sensor, again through the judgement of head position judgment means, until judged result is that head front is when front plate, sound prompt device sends prompting, authenticator is reminded to stop headwork, then, the camera of face recognition is started working, first infrared imaging light source of the collecting part of finger vein features information and the second infrared imaging light source of facial vein pattern information acquisition part emit beam, the face feature information that first infreared imaging device of the collecting part of finger vein features information and the second infreared imaging device of facial vein pattern information acquisition part will collect, finger vein features and facial vein sign are input to characteristic information storage unit, wherein characteristic information includes the shape of finger vena, direction and face feature information, the shape of face vein pattern, above-mentioned characteristic information is input to data processing division and merges by characteristic information storage unit, first by data normalization method below, these data is carried out to the standardization of match information:
a’=(a-c)/σ
Wherein a is the coupling mark of vein shape, direction character, face shape feature, the average of c and σ representative coupling mark a and variance, then using the standardized data a ' that the obtains input data as fusion method, after obtaining facial feature data, finger vein features normal data and facial vein pattern normal data, by three kinds of characteristic standard data by Weighted Fusion method morphogenesis characters information matches group, above-mentioned characteristic information coupling group is imported into matching characteristic information comparison portion subsequently, characteristic information when just the characteristic information coupling group of authenticator's current authentication is registered with identity in matching characteristic information comparison portion mates group compares, this comparison includes face shape, the shape of finger vena, the comparison of the characteristic information coupling group of the shape information of direction and facial vein pattern, such as according to the characteristic information coupling group of current authentication according to corresponding face shape, the shape of finger vena, the feature of the shape of direction and facial vein pattern is mated group at the matching characteristic information comparison portion search characteristic information of registering in advance the most close with this feature and is compared, result according to above-mentioned comparison carries out identity authentication, confirms identity.
Above-described embodiment is the present invention's preferably embodiment; but embodiments of the present invention are not restricted to the described embodiments; change, the modification done under other any does not deviate from Spirit Essence of the present invention and principle, substitute, combine, simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (4)
1. one kind adopts face recognition, the authenticate device that face vena identification combines with finger vena identification, it is characterized in that comprising face recognition device, finger vein features information collecting device and and face recognition device, the facial vein pattern information collecting device that finger vein features information collecting device connects, this authenticate device also comprises stage body, wherein characteristic information storage unit, data processing division, matching characteristic information comparison portion, controller is all arranged at the inside of this stage body, the sidepiece of this stage body is provided with IO interface, the front portion of this stage body is provided with input keyboard, finger vein features information collecting device is arranged on the surface of stage body, comprise housing, first infrared imaging light source, first infreared imaging device, finger angular transducer, finger placement rack, its middle shell is provided with power switch or human body sensor, when certification people is near this device, authenticate device enters open state automatically, the center section of housing is provided with one for stretching into the semi-circular hole of finger, finger placement rack is arranged in above-mentioned semi-circular hole, position just to finger placement rack in the middle of semi-circular hole inner top is provided with and ranked first infrared imaging light source more, every side in the first infrared imaging light source both sides of semi-circular hole madial wall is respectively arranged with two finger angular transducers, the set-up mode of two finger angular transducers of every side is arrange a finger angular transducer in the both sides of the horizontal level concordant with finger placement rack, point angle sensor respectively arranging one with the both sides that the concordant horizontal position of finger placement rack is set to miter angle place, face vein pattern information collecting device comprises facial vein pattern information collecting device shell, the second infrared imaging light source, the second infreared imaging device, facial positions sensor, head position judgment means, sound prompt device, face vein pattern information collecting device shell comprises left plate, right plate and front plate, the two ends of front plate that what left plate, right plate were parallel to each other be arranged on and vertical with front plate respectively, the area of space that wherein left plate, right plate and front are formed is the collection of head vein characteristic information, left plate is provided with two and ranked second infrared imaging light source, right plate is provided with the second infreared imaging device and face recognition device, front plate is provided with facial positions sensor, front plate is also provided with the whether close human body sensor of perception authenticator simultaneously, in base, is provided with the transmitting device be connected with the characteristic information storage unit in stage body, data processing division, matching characteristic information comparison portion, controller.
2. the authenticate device that combines with facial hand vein recognition of finger vena identification according to claim 2, is characterized in that described IO interface and input keyboard can carry out the transmission of interior external information.
3. the authenticate device that combines with facial hand vein recognition of finger vena identification according to claim 3, it is characterized in that above-mentioned IO interface also can be connected to the network, to be further connected with long-range master server, carry out the checking of the transmission of data message or authentication information, schedule backup, can with database seamless connection.
4. one kind utilizes the employing face recognition described in claim 1, the authenticate device that face vena identification combines with finger vena identification carries out the method for certification, comprise: be first authenticator's identity enrollment process, the face feature information of the specific people of certification will be needed at first, finger vein features information and facial vein pattern information registration warehouse-in, the finger vein features information gathered in this enrollment process comprises the information pointing multiple angle, allow finger rotate when registering, gather continuous multiple angle finger vein features information, and the above-mentioned finger vein features information containing angle information is input to characteristic information storage unit, the facial vein pattern information that the facial vein pattern information simultaneously gathered in this enrollment process is gathered when comprising the front angle determined by facial positions sensor, after sound prompt device prompting position is correct, carries out the collection of facial vein pattern information, and the facial vein pattern information of above-mentioned collection is input to characteristic information storage unit, also comprise by the face recognition characteristic information of camera collection in addition, after above-mentioned three kinds of characteristic information collections terminate, the face recognition characteristic information obtained will be gathered in characteristic information storage unit, finger vein features information and facial vein pattern information form real-time face recognition characteristic information at data processing division, finger vein features information and facial vein pattern information matches group, this coupling group includes finger vein features information with angle information and the face recognition characteristic information that simultaneously gathers, face vein pattern information, the method forming coupling group includes the shape of finger vena, direction and face shape characteristic information, the information such as the feature of face vein shape, in order to improve matching precision, before data fusion, by data normalization method below, these characteristics are carried out to the standardization of match information:
a’=(a-c)/σ
Wherein a is the coupling mark of vein shape, direction character, face shape feature, the average of c and σ representative coupling mark a and variance, then using the standardized data a ' that the obtains input data as fusion method;
Above-mentioned data normalization method is wherein utilized to carry out data normalization to facial feature data, finger vein features and facial vein pattern, obtain facial feature data, finger vein features normal data and facial vein pattern normal data, then face recognition characteristic standard data and two kinds of characteristic standard data are passed through Weighted Fusion method morphogenesis characters information matches group;
Next is verification process, when authenticator needs to carry out characteristic information certification, by opening switch or making authenticate device automatically enter open state by the mode of human body sensor, finger stretches into the semi-circular hole of housing, the collecting part of finger vein features information enters finger vein features information acquisition process, meanwhile, face recognition device and facial vein pattern information acquisition part also enter the gatherer process of facial identifying signature and facial vein pattern information, first, the placement information of the finger extend in semi-circular hole housing is detected by described finger angular transducer, namely the top of nail radian and the angle of surface level is detected by four finger angular transducers, determine to point the placed angle information relative to finger placement rack surface level by this angle, simultaneously, whether front is in the face of front plate to judge head by facial positions sensor, namely judge that whether head position has deflection relative to front plate or bow, torticollis phenomenon occurs, if be judged as that the head of authenticator does not have front in the face of front plate through the image of facial positions sensor shooting, then head position judgment means sends signal to sound prompt device, control sound prompt device is sounded and is informed authenticator's moving-head position, then the head photo of authenticator taken again by facial positions sensor, again through the judgement of head position judgment means, until judged result is that head front is when front plate, sound prompt device sends prompting, authenticator is reminded to stop headwork, then, the camera of face recognition is started working, first infrared imaging light source of the collecting part of finger vein features information and the second infrared imaging light source of facial vein pattern information acquisition part emit beam, the face feature information that first infreared imaging device of the collecting part of finger vein features information and the second infreared imaging device of facial vein pattern information acquisition part will collect, finger vein features and facial vein sign are input to characteristic information storage unit, wherein characteristic information includes the shape of finger vena, direction and face feature information, the shape of face vein pattern, above-mentioned characteristic information is input to data processing division and merges by characteristic information storage unit, first by foregoing data normalization method, these data are carried out to the standardization of match information, then using the standardized data a ' that the obtains input data as fusion method, after obtaining facial feature data, finger vein features normal data and facial vein pattern normal data, by three kinds of characteristic standard data by Weighted Fusion method morphogenesis characters information matches group, above-mentioned characteristic information coupling group is imported into matching characteristic information comparison portion subsequently, characteristic information when just the characteristic information coupling group of authenticator's current authentication is registered with identity in matching characteristic information comparison portion mates group compares, this comparison includes face shape, the shape of finger vena, the comparison of the characteristic information coupling group of the shape information of direction and facial vein pattern, according to the characteristic information coupling group of current authentication person during contrast, according to corresponding face shape, the shape of finger vena, the feature of the shape of direction and facial vein pattern is mated group at the matching characteristic information comparison portion search characteristic information of registering in advance the most close with this feature and is compared, result according to above-mentioned comparison carries out identity authentication, confirms identity.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510074651.XA CN104598797B (en) | 2015-02-12 | 2015-02-12 | A kind ofly adopt face recognition, authenticate device that facial vena identification combines with finger vena identification and authentication method |
| PCT/CN2016/071411 WO2016127766A1 (en) | 2015-02-12 | 2016-01-20 | Authentication device and authentication method combining face recognition, face vein authentication and finger vein authentication |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510074651.XA CN104598797B (en) | 2015-02-12 | 2015-02-12 | A kind ofly adopt face recognition, authenticate device that facial vena identification combines with finger vena identification and authentication method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104598797A true CN104598797A (en) | 2015-05-06 |
| CN104598797B CN104598797B (en) | 2016-03-09 |
Family
ID=53124575
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510074651.XA Active CN104598797B (en) | 2015-02-12 | 2015-02-12 | A kind ofly adopt face recognition, authenticate device that facial vena identification combines with finger vena identification and authentication method |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN104598797B (en) |
| WO (1) | WO2016127766A1 (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016127766A1 (en) * | 2015-02-12 | 2016-08-18 | 张丽琴 | Authentication device and authentication method combining face recognition, face vein authentication and finger vein authentication |
| WO2016127767A1 (en) * | 2015-02-12 | 2016-08-18 | 张丽琴 | Authentication device and method combining finger vein recognition and facial vein recognition |
| 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 |
| CN107609524A (en) * | 2017-09-19 | 2018-01-19 | 成都折衍科技有限公司 | A kind of double identification equipments of combined type vein fingerprint |
| CN109478322A (en) * | 2016-07-12 | 2019-03-15 | 株式会社生物电子 | Person authentication device |
| CN110263769A (en) * | 2019-07-19 | 2019-09-20 | 广东工业大学 | A kind of identity information acquisition method and equipment |
| CN110956134A (en) * | 2019-11-29 | 2020-04-03 | 华人运通(上海)云计算科技有限公司 | Face recognition method, face recognition device, face recognition equipment and computer-readable storage medium |
| CN111095247A (en) * | 2017-09-15 | 2020-05-01 | Lg电子株式会社 | Digital device and biometric authentication method in digital device |
| CN112132117A (en) * | 2020-11-16 | 2020-12-25 | 黑龙江大学 | Fusion identity authentication system assisting coercion detection |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10719692B2 (en) | 2017-09-09 | 2020-07-21 | Apple Inc. | Vein matching for difficult biometric authentication cases |
| DE102017221663A1 (en) * | 2017-12-01 | 2019-06-06 | Audi Ag | Identification device for identifying a person, method for identifying a person, and motor vehicle |
| CN112052779B (en) * | 2020-09-01 | 2024-01-16 | 深圳市研盛芯控电子技术有限公司 | Access control system with palm vein recognition and iris recognition |
| CN113011318A (en) * | 2021-03-16 | 2021-06-22 | 南京新知艺测科技有限公司 | Identity recognition system in on-computer evaluation |
| CN114448713A (en) * | 2022-02-25 | 2022-05-06 | 河南宝通信息安全测评有限公司 | Network login external authentication recognizer based on system security |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2789841Y (en) * | 2005-04-20 | 2006-06-21 | 张忠波 | Finger venous image collecting device |
| CN103077459A (en) * | 2012-12-18 | 2013-05-01 | 天津科技大学 | Method for carrying out living body authentication and payment by fusing multi-biometric features of user |
| CN104097611A (en) * | 2014-07-30 | 2014-10-15 | 中山艺展装饰工程有限公司 | Automobile anti-theft system based on human face identification technology multi-identity authentication |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009032227A (en) * | 2007-06-22 | 2009-02-12 | Hitachi Ltd | Finger vein authentication apparatus and information processing apparatus |
| CN102542258B (en) * | 2011-12-16 | 2013-11-20 | 天津理工大学 | Imaging device based on finger biometric information and multimoding identity recognition method |
| CN203673534U (en) * | 2014-01-23 | 2014-06-25 | 山东科一力电气有限公司 | Finger vein attendance machine |
| CN104598797B (en) * | 2015-02-12 | 2016-03-09 | 张丽琴 | A kind ofly adopt face recognition, authenticate device that facial vena identification combines with finger vena identification and authentication method |
| CN204406402U (en) * | 2015-02-12 | 2015-06-17 | 张丽琴 | A kind ofly adopt face recognition, authenticate device that facial vena identification combines with finger vena identification |
-
2015
- 2015-02-12 CN CN201510074651.XA patent/CN104598797B/en active Active
-
2016
- 2016-01-20 WO PCT/CN2016/071411 patent/WO2016127766A1/en active Application Filing
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2789841Y (en) * | 2005-04-20 | 2006-06-21 | 张忠波 | Finger venous image collecting device |
| CN103077459A (en) * | 2012-12-18 | 2013-05-01 | 天津科技大学 | Method for carrying out living body authentication and payment by fusing multi-biometric features of user |
| CN104097611A (en) * | 2014-07-30 | 2014-10-15 | 中山艺展装饰工程有限公司 | Automobile anti-theft system based on human face identification technology multi-identity authentication |
Non-Patent Citations (1)
| Title |
|---|
| 朝晖: "指纹认证弱爆了：下一代面部血管识别", 《HTTP://NEWS.MYDRIVERS.COM/1/269/269211.HTM》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016127766A1 (en) * | 2015-02-12 | 2016-08-18 | 张丽琴 | Authentication device and authentication method combining face recognition, face vein authentication and finger vein authentication |
| WO2016127767A1 (en) * | 2015-02-12 | 2016-08-18 | 张丽琴 | Authentication device and method combining finger vein recognition and facial vein recognition |
| CN109478322A (en) * | 2016-07-12 | 2019-03-15 | 株式会社生物电子 | Person authentication device |
| CN111095247A (en) * | 2017-09-15 | 2020-05-01 | Lg电子株式会社 | Digital device and biometric authentication method in digital device |
| 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 |
| CN107609524A (en) * | 2017-09-19 | 2018-01-19 | 成都折衍科技有限公司 | A kind of double identification equipments of combined type vein fingerprint |
| CN110263769A (en) * | 2019-07-19 | 2019-09-20 | 广东工业大学 | A kind of identity information acquisition method and equipment |
| CN110956134A (en) * | 2019-11-29 | 2020-04-03 | 华人运通(上海)云计算科技有限公司 | Face recognition method, face recognition device, face recognition equipment and computer-readable storage medium |
| CN110956134B (en) * | 2019-11-29 | 2023-08-25 | 华人运通(上海)云计算科技有限公司 | Face recognition method, device, equipment and computer readable storage medium |
| CN112132117A (en) * | 2020-11-16 | 2020-12-25 | 黑龙江大学 | Fusion identity authentication system assisting coercion detection |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2016127766A1 (en) | 2016-08-18 |
| CN104598797B (en) | 2016-03-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104598797B (en) | A kind ofly adopt face recognition, authenticate device that facial vena identification combines with finger vena identification and authentication method | |
| CN104615993B (en) | The certification device and method that a kind of finger vena identification combines with face hand vein recognition | |
| CN107294730A (en) | A kind of multi-modal biological characteristic identity identifying method, apparatus and system | |
| WO2005098744A2 (en) | Handheld biometric computer for 2d/3d image capture | |
| CN107688775A (en) | Binocular camera recognition of face right discriminating system and method based on elevator scene | |
| CN101770613A (en) | Social insurance identity authentication method based on face recognition and living body detection | |
| CN104636731A (en) | Authentication device and authentication method combining finger vein recognition with wrist vein recognition and fingernail recognition | |
| CN109117707A (en) | A kind of trusted identity authentication method and user terminal | |
| CN103324911A (en) | Anti-cheating system based on face recognition | |
| CN206431724U (en) | A kind of gate control system based on face recognition technology | |
| CN108629259A (en) | Identity identifying method and device and storage medium | |
| CN109255219A (en) | A kind of temperature sense unlocking method and system based on bio-identification terminal | |
| Chen et al. | Iris liveness detection: A survey | |
| Matyáš et al. | Biometric authentication systems | |
| KR100795360B1 (en) | A Method Of Face Recognizing | |
| CN204406402U (en) | A kind ofly adopt face recognition, authenticate device that facial vena identification combines with finger vena identification | |
| CN204440516U (en) | A kind ofly various features identification is adopted to combine the aviation security inspection device of certification | |
| CN204440570U (en) | A kind ofly adopt finger vena identification and the type automatic teller machine of facial hand vein recognition in conjunction with certification | |
| CN204406430U (en) | A kind ofly adopt finger vena identification and the residential quarters gate inhibition certification authority of wrist hand vein recognition in conjunction with certification | |
| CN201522734U (en) | Iris recognition entrance guard | |
| Bal et al. | Biometric authentication and tracking system for online examination system | |
| CN204423392U (en) | Based on the authenticate device that finger vena identification combines with facial hand vein recognition | |
| Sepasian et al. | Vitality detection in fingerprint identification | |
| CN204406431U (en) | A kind ofly adopt face recognition, facial vena identification and the automatic customs safety check apparatus of finger vena identification in conjunction with certification | |
| CN204480355U (en) | A kind ofly adopt finger vena identification and the hospital gate inhibition safety distinguishing apparatus of nail identification in conjunction with certification |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |