CN201378323Y - Multi-modal combining identity authentication device - Google Patents
Multi-modal combining identity authentication device Download PDFInfo
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- CN201378323Y CN201378323Y CN200920106294U CN200920106294U CN201378323Y CN 201378323 Y CN201378323 Y CN 201378323Y CN 200920106294 U CN200920106294 U CN 200920106294U CN 200920106294 U CN200920106294 U CN 200920106294U CN 201378323 Y CN201378323 Y CN 201378323Y
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- 210000003462 vein Anatomy 0.000 claims abstract description 59
- 238000003384 imaging method Methods 0.000 claims abstract description 16
- 230000003287 optical effect Effects 0.000 claims description 10
- 230000015572 biosynthetic process Effects 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 230000005693 optoelectronics Effects 0.000 claims description 3
- 230000004304 visual acuity Effects 0.000 claims description 2
- 238000000034 method Methods 0.000 abstract description 6
- 238000001914 filtration Methods 0.000 abstract description 4
- 230000008569 process Effects 0.000 abstract description 4
- 230000008901 benefit Effects 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 9
- 230000002708 enhancing effect Effects 0.000 description 3
- 238000000605 extraction Methods 0.000 description 3
- 210000001525 retina Anatomy 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001755 vocal effect Effects 0.000 description 1
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Abstract
The utility model discloses a multi-modal combining identity authentication device, which comprises: a data collecting module for collecting fingerprint and finger vein images; a pretreatment module for processing the collected fingerprint and finger vein image data; a storage unit for storing the fingerprint and finger vein image data; and an identity authentication module for comparing the combined feature data which is transmitted from the data collecting module and pretreated and comprises the fingerprint and the finger vein of the identified person and the combined feature data stored in the storage module, wherein the data collecting module comprises an imaging unit for processing to image for the fingerprints and the finger veins and a data collecting unit for collecting the fingerprint images and the finger vein images; the pretreatment module processes to trim, combine and overlay, strengthen wave filtering and extract feature points for the signals comprising the fingerprint images and the finger vein images. The utility model has the advantages that the two feature images of the fingerprints and the finger veins are combined and can be compared simultaneously; the identity precision is high; the combined features are difficultly imitated.
Description
Technical field
The utility model relates to a kind of identification authentication system, particularly relates to a kind of device that will refer to that vein and fingerprint combine identity is discerned.
Background technology
At present, the technology of using biological characteristics such as fingerprint, face picture, iris, retina, vocal print to do identification has developed for many years, particularly about fingerprint identification technology, has obtained widespread use owing to it is easy to use with the discrimination height.
Yet, for present fingerprint recognition and recognition technology, it is applied to authentication and also has obviously not enough, no matter be the fingerprint collecting equipment of semiconductor transducer or optical sensor, all be faced with to emulation finger, difficult fingerprint, damage streakline and remaining trace can not gather well, the adaptability defective of identification etc., exist 1% refuse sincerely, also have 3~10% crowd normally not gather fingerprint, have quite a few people can not normally use the living body finger print identity identifying technology; Face phase recognition technology is faced with computer equally can not substitute human brain fully, can not identify that twins, ambient light change, deflection angle is excessive or movement velocity is matched to the technical barrier that power obviously reduces when too fast; The identification of iris recognition and retina also exists and does not overcome the shortcoming that the collection obstacle that brings because of eye illness can't mate, and this iris recognition and retina identification equipment cost height.
In addition, also because the biomedical degree of awareness and image sensing device process limitations, before calendar year 2001, human understanding to biometrics identification technology also only rests on the body surface feature such as fingerprint.
Development along with recognition technology, the finger vein identification technology has appearred in recent years, this refers to that vein identification has very significantly advantage than fingerprint recognition, the most important thing is that wherein it can identify live body and non-living body, and have noresidue, difficult imitated, feature is built-in and characteristics such as easy damaged not.
The utility model content
In view of the foregoing, fundamental purpose of the present utility model is to provide a kind of with fingerprint with refer to the combine identification authentication system of multi-modal combination that identity is discerned of vein.
To achieve these goals, the utility model has adopted following technical proposals:
The identification authentication system of described multi-modal combination combines fingerprint and finger vein for providing a kind of, go identification authentication mode that identity is differentiated, it comprises fingerprint and refers to the data acquisition module that vein image is gathered, to gathering the fingerprint that comes and referring to the pretreatment module that the vein data are handled, the storage fingerprint and refer to the storage unit of vein data and will send from data acquisition module and through pre-service and comprise by discriminating person's fingerprint and the assemblage characteristic data that refer to vein be stored in the fingerprint in the memory module and refer to the authentication module that vein assemblage characteristic data are compared.Described data acquisition module comprises fingerprint and refers to that vein carries out the image-generating unit of imaging and to fingerprint image with refer to the collecting unit that vein image is gathered, and described pretreatment module mainly is by to the fingerprint image gathered with refer to that vein image makes up stack, filtering enhancing and feature extraction and forms special assemblage characteristic data.
Wherein, described image-generating unit is distinguished optical imagery to fingerprint and finger vein, and described collecting unit is then gathered the image after the imaging and exported with the form of digital signal; Described pretreatment module receives the fingerprint image of collecting unit output and refers to the digital signal of vein image, and it is carried out pre-service, and forms the assemblage characteristic data of these described two kinds of characteristics of image of collection.
Compare with existing identity authentication technique, authentication technique described in the utility model is with fingerprint and refer to that two kinds of characteristic images of vein unite two into one, and precision and recognition accuracy height are differentiated in coupling identification simultaneously, and the feature after the combination is difficult to copy, and has more strong vivo identification ability and antifalsification.
Description of drawings
Fig. 1 is the functional-block diagram of the identification authentication system of multi-modal combination described in the utility model;
Fig. 2 is one of the identification authentication system of a multi-modal combination described in the utility model specific embodiment.
Embodiment
Come the identification authentication system of multi-modal combination described in the utility model is described in further detail below in conjunction with accompanying drawing and embodiment.
Consult shown in Fig. 1, the identification authentication system of multi-modal combination described in the utility model is a kind of with fingerprint with refer to that two kinds of biological characteristics of vein realize what identity was differentiated in conjunction with going, and antifalsification height, and the identification authentication system that degree of safety and accuracy rate are high comprises fingerprint and the data acquisition module 10 that refers to that vein image is gathered, to gathering the fingerprint that comes and referring to the pretreatment module 20 that the vein data are handled, the storage fingerprint and refer to the vein related data storage unit 30 and will be from data acquisition module 10 that send and through pretreated comprise by discriminating person's fingerprint and the assemblage characteristic data that refer to vein be stored in the fingerprint in the memory module 30 and refer to the authentication module 40 that vein assemblage characteristic data are compared.
Wherein, described data acquisition module 10 comprises the fingerprint of gathering and refers to that vein carries out the image-generating unit 100 of imaging and the collecting unit 101 that fingerprint image and finger vein image are gathered, described pretreatment module 20 mainly is by to comprising fingerprint image and referring to that the signal of vein image cuts, makes up stack, filtering enhancing and feature point extraction, comprises fingerprint and the assemblage characteristic data that refer to two kinds of biological characteristics of vein thereby form.
In addition, comprise in the described image-generating unit 100 fingerprint imaging part 1000 and 1,001 two imaging moieties of finger vein imaging part, the image of fingerprint image and finger vein all can adopt optical prism to be embodied as picture, wherein, described fingerprint image can form in the interference of prism surface and through inner full-reflection by streakline, and described finger vein image then is finger to be placed optical prism and utilize the exciting light transmission to form.
Described collecting unit 101 includes imageing sensor 1010, photoelectric commutator 1011 and analog to digital converter 1012, in the utility model, this collecting unit 101 is for adopting a video camera, so that gather fingerprint image simultaneously and refer to vein image, at this moment, fingerprint is a plane with the object plane and the exit facet that refer to vein image.Described imageing sensor 1010 is for adopting high resolving power face formation imageing sensor, it is for gathering simultaneously fingerprint image and finger vein image, described photoelectric commutator 1011 carries out opto-electronic conversion and exports to analog to digital converter 1012 with the form of analog electrical signal for the image that imageing sensor 1010 is gathered, analog to digital converter 1012 is converted to digital signal with this analog electrical signal, and last and employing high speed USB communication mode comprises fingerprint image with number and refers to that the digital electric signal of vein image is transferred to pretreatment module 20.
During practical application, described pretreatment module 20, authentication module 40 and memory module 30 also can be positioned in the host computer, in computing machine.
Shown in Fig. 2, and come device described in the utility model is described with a specific implementation process.
During identification: at first, will be positioned on the optical prism, and, promptly carry out imaging respectively with the finger vein by fingerprint imaging part 1000 and 1001 pairs of fingerprints of finger vein imaging part so that fingerprint and finger vein are distinguished imaging by discriminating person's finger 5; Wherein, fingerprint be by streakline in the interference on optical prism surface and by forming at this optical prism inner full-reflection, form by the exciting light transmission when referring to that vein then utilizes finger to be positioned over optical prism.Secondly by video camera 8 computing machine 9 is gathered and be transferred to formed fingerprint image of the optical prism of above-mentioned different designs and finger vein image simultaneously, this described computing machine 9 cuts, makes up stack to the fingerprint image of gathering simultaneously with finger vein image signal in regular turn and the signal after superposeing is given with filtering and enhancing, image is carried out the extraction of unique point, and then the assemblage characteristic data of formation fusion fingerprint and two kinds of biological characteristics of finger vein.
In addition, for new personnel's identification information (fingerprint and refer to vein) when extracting, after then in computing machine 9, carrying out pre-service, computing machine 9 can be stored described assemblage characteristic data (seeing that dotted line is represented direction A among Fig. 1), so that when carrying out the identity discriminating next time, that gather at that time and assemblage characteristic data process pre-service formation can be carried out 1: 1 or 1 with the assemblage characteristic data that before had been stored in the computing machine 9: the comparison of N.
If both assemblage characteristic data are identical, then expression is compared and is successfully assert identity; Otherwise, then expression comparison failure, system reports an error.
In actual applications, also can comprise an alarm module (not shown) in device described in the utility model, it can be pointed out the comparison result by voice or literal.
Claims (6)
1. the identification authentication system of a multi-modal combination, it is characterized in that, this system comprises fingerprint and refers to the data acquisition module that vein image is gathered, to gathering the fingerprint that comes and referring to the pretreatment module that the vein image data are handled, storage comprise fingerprint and refer to the storage unit of vein assemblage characteristic data and will send from data acquisition module and through pretreated fingerprint with refer to vein assemblage characteristic data and be stored in the fingerprint in the memory module and refer to the authentication module that vein assemblage characteristic data are compared, wherein, described data acquisition module comprises fingerprint and refers to that vein carries out the image-generating unit of imaging and the collecting unit that the fingerprint image and the finger vein image of formation are gathered.
2. according to the identification authentication system of the described multi-modal combination of claim 1, it is characterized in that described image-generating unit comprises the fingerprint imaging part and refers to the vein imaging part.
3. according to the identification authentication system of the described multi-modal combination of claim 1, it is characterized in that described collecting unit comprises fingerprint and refers to imageing sensor that vein image gathers, the image of gathering is carried out the photoelectric commutator of opto-electronic conversion and the analog to digital converter that the electric signal after the opto-electronic conversion is carried out analog to digital conversion.
4. according to the identification authentication system of the described multi-modal combination of claim 1, it is characterized in that described collecting unit is a video camera.
5. according to the identification authentication system of the described multi-modal combination of claim 2, it is characterized in that described fingerprint imaging part and finger vein imaging partly are the employing optical prism.
6. according to the identification authentication system of the described multi-modal combination of claim 3, it is characterized in that described imageing sensor is a high resolving power face formation imageing sensor.
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CN200920106294U CN201378323Y (en) | 2009-03-20 | 2009-03-20 | Multi-modal combining identity authentication device |
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101504722B (en) * | 2009-03-20 | 2012-05-30 | 公安部第一研究所 | Multi-mode combined identity authentication system and method |
CN104252474A (en) * | 2013-06-27 | 2014-12-31 | 宁夏新航信息科技有限公司 | Intelligent user information control system |
CN106682663A (en) * | 2015-11-11 | 2017-05-17 | 天津中科智能识别产业技术研究院有限公司 | Multi-modal biological feature identifying system and method for mobile platform |
CN111368780A (en) * | 2020-03-13 | 2020-07-03 | 浙江大华技术股份有限公司 | Fingerprint and finger vein based combined identification processing method and system |
CN112633181A (en) * | 2020-12-25 | 2021-04-09 | 北京嘀嘀无限科技发展有限公司 | Data processing method, system, device, equipment and medium |
-
2009
- 2009-03-20 CN CN200920106294U patent/CN201378323Y/en not_active Expired - Fee Related
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101504722B (en) * | 2009-03-20 | 2012-05-30 | 公安部第一研究所 | Multi-mode combined identity authentication system and method |
CN104252474A (en) * | 2013-06-27 | 2014-12-31 | 宁夏新航信息科技有限公司 | Intelligent user information control system |
CN106682663A (en) * | 2015-11-11 | 2017-05-17 | 天津中科智能识别产业技术研究院有限公司 | Multi-modal biological feature identifying system and method for mobile platform |
CN111368780A (en) * | 2020-03-13 | 2020-07-03 | 浙江大华技术股份有限公司 | Fingerprint and finger vein based combined identification processing method and system |
CN111368780B (en) * | 2020-03-13 | 2024-01-30 | 浙江大华技术股份有限公司 | Combined recognition processing method and system based on fingerprint and finger vein |
CN112633181A (en) * | 2020-12-25 | 2021-04-09 | 北京嘀嘀无限科技发展有限公司 | Data processing method, system, device, equipment and medium |
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Granted publication date: 20100106 Termination date: 20140320 |