CN102567707A - Biological identification sensor and biological identification system - Google Patents
Biological identification sensor and biological identification system Download PDFInfo
- Publication number
- CN102567707A CN102567707A CN2010106070476A CN201010607047A CN102567707A CN 102567707 A CN102567707 A CN 102567707A CN 2010106070476 A CN2010106070476 A CN 2010106070476A CN 201010607047 A CN201010607047 A CN 201010607047A CN 102567707 A CN102567707 A CN 102567707A
- Authority
- CN
- China
- Prior art keywords
- light
- infrared
- image
- splitting part
- visible
- 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
Images
Landscapes
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Image Input (AREA)
Abstract
The invention provides a biological identification sensor and a biological identification system, wherein the biological identification sensor comprises an active light source, a single imaging lens, a light-splitting part, an infrared image acquiring device and a visible light image acquiring device; the active light source is used for emitting visible light and near infrared light; the light-splitting part is located behind the imaging lens; the infrared image acquiring device and the visible light image acquiring device are both located behind the light-splitting part; and the light-splitting part is used for dividing a light wave passing through the imaging lens into a path of visible light and a path of near infrared light. The biological identification sensor provided by the invention has the advantages that non-contact type image acquisition is realized, the light-splitting part is utilized to simplify the structure of the image acquiring device, and the accuracy and efficiency of biological identification are efficiently increased.
Description
Technical field
The present invention relates to utilize biological characteristic to carry out identity identification technical field, especially, relate to a kind of biometric sensor and biological recognition system.
Background technology
In recent years, more and more receive people's attention based on the identity recognizing technology of biological characteristic.Identity recognizing technology based on biological characteristic is called for short biological identification technology.So-called biological identification technology be meant utilize human body or other biological body itself intrinsic physical features; For example: fingerprint, palmmprint, iris, people's face etc.; Perhaps behavioural characteristic; For example: sound, handwritten signature, gait etc., differentiate the technology of biosome identity through methods such as Flame Image Process, pattern-recognitions.Compare with traditional identification mode based on password or ID card, have the property of carrying strong, be difficult for forgeing, be difficult to advantages such as forgery, security, reliability and validity are stronger.
With the human body identification is example, and the prior art publication number is: the patented claim of CN 101196987A discloses a kind of online palmprint, palm vein image personal identification method and special-purpose collection instrument thereof.
The palmmprint of this technology employing human body and palm vein biological characteristic are as the means of identification.Obtaining of palmmprint and palm vein information data is the basis of this biological identification technology, and the equipment that palmmprint that prior art adopts and palm vein image obtain comprises: in order to form instrument box, DV, near-infrared light source, visible light source, scattering sheet, instrument support, tool housing and the palm casing of darkroom structure.Data acquisition comprises log-on message gatherer process and identification procedure.Wherein, The log-on message gatherer process is: palm is placed on the camera bellows of being made up of palm casing and instrument box; Obtain the palm vein image of visible light source irradiation palmprint image down under shining with infrared light with digital camera, with two width of cloth images of the different biological features that reflects same biosome as log-on message.Identification procedure is: the palmmprint of collection in worksite human body and palm vein image, utilize mode identification technology and registered two width of cloth image comparison then, and realize the authentication of biosome through the relevance of verifying the two.
Have higher security and correct recognition rata though adopt above-mentioned palmmprint and palm vein to carry out the human body identification, there is following shortcoming in prior art:
1, image acquisition process adopts the way of contact, is easy to cause bacterial cross-infection, and the safety and sanitation of biosome can't ensure;
2, palmprint image and palm vein image are asynchronous obtains, and needs continuous toggle lights, has reduced IMAQ efficient;
3, owing to need to realize the switching of visible light source and infrared light supply,, increased the complicacy of data acquisition equipment, improved the production cost of equipment so data acquisition equipment also need increase the light source conversion equipment.
Summary of the invention
Technical matters to be solved by this invention provides a kind of biometric sensor and biological recognition system; Can adopt the noncontact mode to collect the visible images of reflection organism surface textural characteristics and the infrared vein image of reflection organism surface venae subcutaneae characteristic simultaneously, be used for the biosome authentication.
In order to address the above problem, on the one hand a kind of biometric sensor is provided, comprising: the active light source of visible emitting and near infrared light, single imaging lens, light splitting part, infrared image acquisition device and visible images harvester; Above-mentioned light splitting part is positioned at the rear of above-mentioned imaging lens, and above-mentioned infrared image acquisition device and visible images harvester all are positioned at the rear of above-mentioned light splitting part; Wherein, above-mentioned active light source, the image acquisition region that is used to shine above-mentioned imaging lens top or the place ahead; Above-mentioned imaging lens is used to receive the light wave from the biosome reflection of above-mentioned image acquisition region; Above-mentioned light splitting part is used for the light wave from above-mentioned imaging lens transmission is divided into one road visible light and one road near infrared light; Above-mentioned infrared image acquisition device is used to gather after above-mentioned light splitting part beam split, the near-infrared light waves of outgoing, to form the infrared vein image of the above-mentioned biosome vein pattern of reflection; Above-mentioned visible images harvester is used to gather after above-mentioned light splitting part beam split, the visible light wave of outgoing, to form the body surface texture image of the above-mentioned biosome appearance textural characteristics of reflection.
Preferably, in the middle of being specially, above-mentioned light splitting part is coated with the Amici prism of particular optical thin layer, above-mentioned particular optical thin layer visible light transmissive, reflect near infrared light, perhaps reflect visible light, transmission near infrared light.
Preferably, above-mentioned light splitting part is specially the Amici prism that two surfaces are coated with infrared filtering film and visible light light filter film respectively.
Preferably, above-mentioned light splitting part is specially the combination of Amici prism, near infrared band pass filter, visible light band pass filter; Wherein, above-mentioned near infrared band pass filter places between above-mentioned Amici prism and the above-mentioned infrared image acquisition device; Above-mentioned visible light band pass filter places between above-mentioned Amici prism and the above-mentioned visible images harvester.
Preferably, above-mentioned light splitting part is specially the combination of light splitting piece, near infrared band pass filter, visible light band pass filter; Wherein, above-mentioned near infrared band pass filter places between above-mentioned light splitting piece and the above-mentioned infrared image acquisition device; Above-mentioned visible light band pass filter places between above-mentioned light splitting piece and the above-mentioned visible images harvester.
Preferably; Above-mentioned biometric sensor also comprises: infrared near inductor; Be connected with above-mentioned active light source, image collecting device, when above-mentioned biosome gets into the image acquisition region apart from above-mentioned imaging lens predeterminable range, trigger above-mentioned active light source with or above-mentioned image collecting device work.
Preferably, above-mentioned biometric sensor also further comprises: the leaded light ring is arranged at the top of above-mentioned active light source.
Preferably, above-mentioned predeterminable range is specially 5~10 centimeters.
Preferably, the wavelength coverage of above-mentioned near infrared light is 760nm~940nm.
On the other hand, the present invention also provides a kind of biological recognition system, comprising: arbitrary above-mentioned biometric sensor is used to gather infrared vein image and the body surface texture image of biosome; Data Transmission Control Unit is connected with above-mentioned biometric sensor, is used for body surface texture image and the infrared vein image of above-mentioned biosome are sent to data processing equipment; Data processing equipment is connected with above-mentioned Data Transmission Control Unit, is used for body surface texture image and the infrared vein image of above-mentioned biosome are carried out pre-service and feature extraction, carries out the characteristic contrast with the sample of preserving in advance, realizes identification.
Compared with prior art, a technical scheme in the technique scheme has the following advantages or beneficial effect:
When using biology sensor provided by the invention to carry out the biometric image collection; When biosome gets into preset image acquisition region; Initiatively light source while visible emitting and near infrared light are in biosome; Reflected light of biosome or transmitted light are through single imaging lens imaging; Light splitting part will be divided into one road visible light wave and one tunnel near-infrared light waves through the light wave of imaging lens, be respectively applied for the image information collection of organism surface textural characteristics and the infrared image acquisition of biosome vein pattern.It is thus clear that; Biometric sensor provided by the invention has not only realized contactless IMAQ; And utilize light splitting part, and can realize the collection of organism surface texture visible images and the collection of biosome vein pattern infrared image through single imaging lens, simplified the structure of image collecting device; And can obtain two width of cloth living body feature images simultaneously, effectively improve the efficient of bio-identification.
Description of drawings
Fig. 1 is the structural representation of biometric sensor embodiment of the present invention;
Fig. 2 is the structural representation of biometric sensor embodiment two of the present invention;
Fig. 3 is the synoptic diagram of biometric sensor light splitting part embodiment one of the present invention;
Fig. 4 is the synoptic diagram of biometric sensor light splitting part embodiment two of the present invention;
Fig. 5 is the synoptic diagram of biometric sensor light splitting part embodiment three of the present invention;
Fig. 6 is the synoptic diagram of biometric sensor light splitting part embodiment four of the present invention;
Fig. 7 is the synoptic diagram of biological recognition system embodiment of the present invention.
Embodiment
For make above-mentioned purpose of the present invention, feature and advantage can be more obviously understandable, below in conjunction with accompanying drawing and embodiment the present invention done further detailed explanation.
With reference to Fig. 1, show the structural representation of biometric sensor embodiment of the present invention, comprising: active light source 1, single imaging lens 2, light splitting part 3, infrared image acquisition device 4, visible images harvester 5.Wherein, initiatively light source 1 places the below of imaging lens 2, is used to provide the light wave of uniform irradiation image acquisition region.Light splitting part 3 is positioned at the below of imaging lens 1, and infrared image acquisition device 4 and visible images harvester 5 all are positioned at the rear of light splitting part 3.For images acquired better, can the center of infrared image acquisition device and visible images harvester photo-sensitive cell is strict corresponding with the center of two exit facets of light splitting part respectively.
Wherein, Initiatively light source 1 emission wavelength is the near-infrared light waves of 760nm~1000nm and the visible light wave that wavelength is 390nm~760nm, and irradiation is positioned at the image acquisition region of imaging lens the place ahead or top, when biosome gets into image acquisition region; Act on biosome, for example human body palm etc.
Initiatively light source 1 specifically can be the combination of spaced near-infrared luminous element and visible light light-emitting component, like the LED lamp of the emission near infrared light of ring shooting and the array of the LED lamp of launching white light.Initiatively light source 1 can be specially the light-emitting component etc. that emission band is 390nm~1000nm light wave.
Wherein, active light source 1 visible light emitted ripple, the texture that is mainly used in to organism surface provides stable illumination condition.Shine visible light reflection back entering imaging lens, to form the body surface texture image of reflection biosome appearance textural characteristics in organism surface.
The near-infrared light waves of light source 1 emission initiatively is mainly used in to the biosome venae subcutaneae stable illumination condition is provided.Shine near infrared light reflection back entering imaging lens, to form the infrared vein image of reflection biosome vein pattern in the biosome venae subcutaneae.
Wherein, the principle of biosome venae subcutaneae infrared imaging is: medical research shows that wavelength has stronger penetration capacity at the light wave in the near infrared spectrum district of 760nm~1000nm to tissue.Oxyhemoglobin in the human vein blood and reduced hemoglobin are higher relatively to the absorptivity of light wave in 760nm~1000nm wavelength coverage, and the water in the tissue is relatively low to the absorptivity of light wave in this wavelength coverage.So; Under the irradiation of near-infrared light source, human vein partly can be because of there being more absorption to light, and it is less and be dark-coloured to reflect light; Other histocyte of human body so just can obtain reflecting the infrared vein image of biosome venae subcutaneae characteristic owing to the reflection of water is light tone simultaneously.
According to above-mentioned venae subcutaneae infrared imaging principle and through lot of experiment validation, the infrared LED array of emission 850nm~940nm, especially 890nm can be obtained more infrared vein image as infrared light supply.
Imaging lens 2 is used to receive the reflected light of biosome, forms the light beam that dwindles or amplify, and dwindles or enlarged image with formation.
With palmmprint and vein image acquisition is example, generally forms the light beam that dwindles through the light wave of imaging lens, the visible images of the reflection palm textural characteristics that dwindles with formation and the infrared image of reflection palm vein characteristic.
Infrared light image harvester 4 is used to respond to the near-infrared light waves from light splitting part 3 outgoing, forms the infrared vein image of reflection biosome vein pattern.
Above-mentioned image collecting device can be CCD inductor (Charge Coupled Device, charge-coupled image sensor), also can be CMOS inductor (Complementary Metal-Oxide Semiconductor, complementary metal oxide semiconductor (CMOS) sensor).
Be characterized as example to gather the human body palm below, the course of work of above-mentioned biometric sensor embodiment be described:
S1, staff extend into image acquisition region, promptly apart from the top or the anterior position of imaging lens 3 certain distances.
S2, active light source 1 emission near-infrared light waves and visible light wave shine staff simultaneously.
The near-infrared light waves of S3, staff reflection and visible light wave get into imaging lens 2.
S4, incide the light splitting part 3, be divided into one tunnel near-infrared light waves and one road visible light wave by light splitting part 3 from the light wave of imaging lens 2 outgoing.
S5, act on infrared image acquisition device 4, form palm vein image from the near-infrared light waves of light splitting part 3 outgoing.
S6, act on visible images harvester 5, form the palm texture image from the visible light wave of light splitting part 3 outgoing.
Can know from the course of work of above-mentioned biology sensor; Because the branch light action of light splitting part 3 is arranged; Utilize an imaging lens 2 just can realize the collection of palm texture information and these two uncorrelated biological informations of palm vein information simultaneously, avoid two width of cloth images to adopt different optical lens collections perhaps to adopt a continuous toggle lights of optical lens to gather, effectively simplified the structure of biology sensor; Practice thrift the IMAQ time, improved IMAQ efficient.
In addition,, avoided different biosomes to leave over the cross-infection of bacterium, effectively guaranteed the safe and sanitary of biosome because this biometric sensor adopts contactless IMAQ.
With reference to Fig. 2, show the structural representation of biometric sensor embodiment two of the present invention, compare with enforcement one, also comprise: one is arranged at the initiatively leaded light ring 6 of light source 1 top, is used to make the initiatively light homogenising of light source 1 emission.
In another embodiment; Also be provided with infrared near inductor 7; Be connected with 5 with active light source 1, image collecting device 4, when biosome gets into the image acquisition region apart from imaging lens 2 predeterminable ranges, trigger initiatively light source 1 with or image collecting device 4 work with 5.
The predeterminable range of above-mentioned image acquisition region can but be not limited to be set to zone apart from 5~10 centimeters of imaging lens tops.When biosome gets into image acquisition region, because human body reflective infrared light wave, so can trigger infrared switch near inductor 7.
The embodiment of light splitting part is described below in conjunction with the specific embodiment of light splitting part:
Light splitting part embodiment one
With reference to Fig. 3; Show the synoptic diagram of biometric sensor light splitting part embodiment one of the present invention, shown in Fig. 3-a, light splitting part is specially the Amici prism 3-1 that a middle layer is coated with particular optical film c; Wherein, the plated film c in middle layer can visible light transmissive, reflective infrared light.Certainly, above-mentioned intermediate coated film c also can be the optical thin film of transmission near infrared light, reflect visible light.
Beam split synoptic diagram referring to the Amici prism shown in Fig. 3-b; The spectroscopic processes of Amici prism 3-1 is: from the visible light and the infrared light λ 1+ λ 2 (wherein, λ 1 represents near-infrared light waves, the visible light wave of λ 2 representatives) of imaging lens 2 outgoing; Together the plane of incidence from Amici prism 3-1 gets into; Receive the effect of intermediate coated film layer c, make light wave λ 2 transmissions of visible light wave range, light wave λ 1 reflection of near-infrared band.Need to prove that transmitted light wave λ 2 only carries the organism surface textural characteristics, reflecting light λ 1 only carries biosome venae subcutaneae information.
Infrared light image harvester 4 receives reflecting light λ 1, collects the infrared vein image of biosome; Visible images harvester 5 receives transmitted light wave λ 2, collects the organism surface texture image.
Light splitting part embodiment two,
Referring to Fig. 4; Show the synoptic diagram of biometric sensor light splitting part embodiment two of the present invention; Shown in Fig. 4-a, light splitting part is specially a surface and is coated with visible light bandpass filtering film a, and another surface is coated with the Amici prism 3-2 of near infrared bandpass filtering film b.
Beam split synoptic diagram referring to the Amici prism 3-2 shown in Fig. 4-b; The spectroscopic processes of Amici prism 3-2 is: from the visible light of imaging lens 2 outgoing and infrared light λ 1+ λ 2 (wherein; λ 1 represents near-infrared light waves; The visible light wave of λ 2 representatives), together the plane of incidence from Amici prism 3-2 gets into, and is divided into one road reflected light and one road transmitted light.Wherein, transmitted light is filtered by the logical light filter film a of visible light belt at exit facet, forms the emergent light that only comprises visible light wave range λ 2.Reflected light is filtered by the logical light filter film b of near infrared band at exit facet, forms the emergent light that only comprises near-infrared band λ 1.Above-mentioned transmitted light wave λ 2 has only carried the organism surface textural characteristics, and reflecting light λ 1 has only carried biosome venae subcutaneae information.
Infrared light image harvester 4 receives reflecting light λ 1, collects the infrared vein image of biosome; Visible images harvester 5 receives transmitted light wave λ 2, collects the organism surface texture image.
Light splitting part embodiment three,
Referring to Fig. 5; Show the synoptic diagram of biometric sensor light splitting part embodiment three of the present invention; Shown in Fig. 5-a, light splitting part also can be by a common Amici prism 3-3, a near infrared band pass filter 8-1, the combiner that visible light band pass filter 8-2 forms.Wherein, near infrared band pass filter 8-1 places between Amici prism 3-3 and the infrared image acquisition device 4; Visible light band pass filter 8-2 places between Amici prism 3-3 and the visible images harvester 5.
Referring to the synoptic diagram of the light splitting part shown in Fig. 5-b, the spectroscopic processes of its spectroscopic processes and light splitting part embodiment two is similar, and present embodiment is equivalent to two kinds of plated films in the foregoing description two, and independently band pass filter 8-1,8-2 replace by two.Wherein, near infrared band pass filter 8-1 places between the reflecting surface and infrared light image harvester 4 of Amici prism 3-3.Visible light band pass filter 8-2 places between the transmission plane and visible images harvester 5 of Amici prism 3-3.
Concrete spectroscopic processes is: from the visible light and the infrared light λ 1+ λ 2 (wherein, λ 1 represents near-infrared light waves, the visible light wave of λ 2 representatives) of imaging lens 2 outgoing, together the plane of incidence from Amici prism 3-3 gets into, and is divided into one road reflected light and one road transmitted light.Here, the two-beam of telling through Amici prism 3-3 remains the light wave that comprises visible light wave λ 2 and near-infrared light waves λ 1 simultaneously.After the light wave process visible light band pass filter 8-2 filtering of Amici prism 3-3 transmission, the light wave of outgoing is for only having carried the visible light wave λ 2 of organism surface textural characteristics.The light wave of Amici prism 3-3 reflection is through after the near infrared light band pass filter 8-1 filtering, and the light wave of outgoing is for only having carried the near-infrared light waves λ 1 of biosome venae subcutaneae information.
Infrared light image harvester 4 receives reflecting light λ 1, collects the infrared vein image of biosome; Visible images harvester 5 receives transmitted light wave λ 2, collects the organism surface texture image.
Light splitting part embodiment four,
Referring to Fig. 6; Show the synoptic diagram of biometric sensor light splitting part embodiment four of the present invention; Shown in Fig. 6-a, light splitting part also can be by a light splitting piece 3-4, a near infrared band pass filter 8-1, the combiner that visible light band pass filter 8-2 forms.Wherein, near infrared band pass filter 8-1 places between the reflecting surface and infrared image acquisition device 4 of light splitting piece; Visible light band pass filter 8-2 places between the transmission plane and visible images harvester 5 of light splitting piece 3-4.
The structure proximate of present embodiment four and embodiment three just replaces Amici prism 3-3 with an all band light splitting piece 3-4 who is coated with semi-transparent semi-reflecting film.Its spectroscopic processes is similar with embodiment three, shown in Fig. 6-b, repeats no more here.
In addition, the present invention also can adopt for example two catoptron, near infrared band pass filter and visible light band pass filter composition light splitting parts that become certain angle of other optical element, and the present invention does not limit its way of realization.
Implementation by above-mentioned light splitting part can know that biometric sensor provided by the invention is simple in structure, realization is convenient, can effectively reduce the production cost of biometric sensor.
Accordingly, the present invention also provides a kind of biological recognition system, and with reference to the structural representation of biological recognition system shown in Figure 7, this biological recognition system comprises:
The described biometric sensor 71 of above-mentioned arbitrary embodiment is used to gather infrared vein image and the body surface texture image of biosome.
Wherein, biometric sensor 71 is mainly used in captured identity and discerns needed original image, and the original image that comprises registration phase is the collection of sample, also comprises the in good time collection of authenticating phase biosome original image.
Above-mentioned biological recognition system adopts contactless acquisition mode, has safety and sanitation, easy to use, and characteristics fast and accurately.This system obtains the biological characteristic of human body palm through the mode of contactless IMAQ, has noninvasive, and the not infringement of health to human body is applicable to gate inhibition, work attendance, is open to the custom, places such as PC login, network ID authentication.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed all is and the difference of other embodiment that identical similar part is mutually referring to getting final product between each embodiment.For system embodiment, because it comprises device embodiment, so description is fairly simple, relevant part gets final product referring to the part explanation of device embodiment.
More than to a kind of biometric sensor provided by the present invention; And a kind of biological recognition system; Carried out detailed introduction; Used concrete example among this paper principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that on embodiment and range of application, all can change, in sum, this description should not be construed as limitation of the present invention.
Claims (10)
1. a biometric sensor is characterized in that, comprising: the active light source of visible emitting and near infrared light, single imaging lens, light splitting part, infrared image acquisition device and visible images harvester; Said light splitting part is positioned at the rear of said imaging lens, and said infrared image acquisition device and visible images harvester all are positioned at the rear of said light splitting part; Wherein,
Said active light source, the image acquisition region that is used to shine said imaging lens top or the place ahead;
Said imaging lens is used to receive the light wave from the biosome reflection of said image acquisition region;
Said light splitting part is used for the light wave from said imaging lens transmission is divided into one road visible light and one road near infrared light;
Said infrared image acquisition device is used to gather after said light splitting part beam split, the near-infrared light waves of outgoing, to form the infrared vein image of the said biosome vein pattern of reflection;
Said visible images harvester is used to gather after said light splitting part beam split, the visible light wave of outgoing, to form the body surface texture image of the said biosome appearance textural characteristics of reflection.
2. 1 described biometric sensor as requested; It is characterized in that; In the middle of being specially, said light splitting part is coated with the Amici prism of particular optical thin layer, said particular optical thin layer visible light transmissive, reflect near infrared light, perhaps reflect visible light, transmission near infrared light.
3. 1 described biometric sensor as requested is characterized in that said light splitting part is specially the Amici prism that two surfaces are coated with infrared filtering film and visible light light filter film respectively.
4. biometric sensor according to claim 1 is characterized in that, said light splitting part is specially the combination of Amici prism, near infrared band pass filter, visible light band pass filter; Wherein, said near infrared band pass filter places between said Amici prism and the said infrared image acquisition device; Said visible light band pass filter places between said Amici prism and the said visible images harvester.
5. biometric sensor according to claim 1 is characterized in that, said light splitting part is specially the combination of light splitting piece, near infrared band pass filter, visible light band pass filter; Wherein, said near infrared band pass filter places between said light splitting piece and the said infrared image acquisition device; Said visible light band pass filter places between said light splitting piece and the said visible images harvester.
6. biometric sensor according to claim 1; It is characterized in that; Also comprise: infrared near inductor; Be connected with said active light source, image collecting device, when said biosome gets into the image acquisition region apart from said imaging lens predeterminable range, trigger said active light source with or said image collecting device work.
7. biometric sensor according to claim 1 is characterized in that, also comprises: the leaded light ring is arranged at the top of said active light source.
8. biometric sensor according to claim 6 is characterized in that, said predeterminable range is specially 5~10 centimeters.
9. biometric sensor according to claim 1 is characterized in that, the wavelength coverage of said near infrared light is 760nm~940nm.
10. a biological recognition system is characterized in that, comprising: the arbitrary described biometric sensor of claim 1 to 9 is used to gather infrared vein image and the body surface texture image of biosome;
Data Transmission Control Unit is connected with said biometric sensor, is used for body surface texture image and the infrared vein image of said biosome are sent to data processing equipment;
Data processing equipment is connected with said Data Transmission Control Unit, is used for body surface texture image and the infrared vein image of said biosome are carried out pre-service and feature extraction, carries out the characteristic contrast with the sample of preserving in advance, realizes identification.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201010607047.6A CN102567707B (en) | 2010-12-27 | 2010-12-27 | Biometric sensor and biological recognition system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201010607047.6A CN102567707B (en) | 2010-12-27 | 2010-12-27 | Biometric sensor and biological recognition system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102567707A true CN102567707A (en) | 2012-07-11 |
CN102567707B CN102567707B (en) | 2016-10-12 |
Family
ID=46413087
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201010607047.6A Active CN102567707B (en) | 2010-12-27 | 2010-12-27 | Biometric sensor and biological recognition system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102567707B (en) |
Cited By (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103116741A (en) * | 2013-01-28 | 2013-05-22 | 天津理工大学 | Capture and identification system for blending images of palm veins and palm prints |
CN103927018A (en) * | 2014-04-28 | 2014-07-16 | 联想(北京)有限公司 | Control method and device and electronic equipment |
CN104463112A (en) * | 2014-11-27 | 2015-03-25 | 深圳市科葩信息技术有限公司 | Method and system for carrying out biological recognition through RGB+IR image sensor |
CN104615976A (en) * | 2015-01-16 | 2015-05-13 | 深圳市维亿魄科技有限公司 | Mobile terminal system, mobile terminal and vein recognition device |
CN104992163A (en) * | 2015-07-22 | 2015-10-21 | 江苏天诚智能集团有限公司 | Optical device for simultaneously acquiring human face image and iris image and identity authentication method thereof |
CN105426886A (en) * | 2015-12-09 | 2016-03-23 | 广东欧珀移动通信有限公司 | Face verification method and face verification device |
WO2016112546A1 (en) * | 2015-01-16 | 2016-07-21 | 深圳市维亿魄科技有限公司 | Mobile terminal and vein identification device thereof |
CN106611430A (en) * | 2015-10-15 | 2017-05-03 | 杭州海康威视数字技术股份有限公司 | An RGB-D image generation method, apparatus and a video camera |
CN107093231A (en) * | 2017-03-29 | 2017-08-25 | 广西科技大学 | Gate control system based on hand back vein |
CN108038479A (en) * | 2018-01-17 | 2018-05-15 | 昆山龙腾光电有限公司 | Fingerprint identification device and recognition methods |
CN108427945A (en) * | 2017-03-06 | 2018-08-21 | 新多集团有限公司 | The multispectral adaptive palmmprint vena metacarpea collecting device of one kind and acquisition method |
CN109002818A (en) * | 2018-09-06 | 2018-12-14 | 深圳阜时科技有限公司 | Imaging system with 3D bio-identification function |
CN109508588A (en) * | 2017-09-15 | 2019-03-22 | 杭州海康威视数字技术股份有限公司 | Monitoring method, device, system, electronic equipment and computer readable storage medium |
CN110210394A (en) * | 2019-05-31 | 2019-09-06 | Oppo广东移动通信有限公司 | Vein image acquisition method and Related product |
CN110770748A (en) * | 2019-04-25 | 2020-02-07 | 深圳市汇顶科技股份有限公司 | Optical fingerprint identification device, electronic equipment and fingerprint identification method |
CN111357013A (en) * | 2017-11-28 | 2020-06-30 | 指纹卡有限公司 | Biometric imaging system and method of determining a characteristic of a biometric object using a biometric imaging system |
CN111772560A (en) * | 2020-08-06 | 2020-10-16 | 山西医科大学 | Fluorescence endoscope imaging system and method based on dual-channel efficient transmission |
CN113011391A (en) * | 2021-04-25 | 2021-06-22 | 秦皇岛本征晶体科技有限公司 | Optical system and method for face recognition living body detection |
CN113627344A (en) * | 2021-08-11 | 2021-11-09 | 苏州艾泽镭智能科技有限公司 | Dual biometric detection system, security identification method, application and electronic device |
CN114354514A (en) * | 2021-12-24 | 2022-04-15 | 南昌大学 | Non-contact multi-modal material perception and recognition device |
CN115120249A (en) * | 2022-05-19 | 2022-09-30 | 深圳未来脑律科技有限公司 | Bimodal brain function imaging device |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2446493A (en) * | 2007-02-09 | 2008-08-13 | Ligh Tuning Tech Inc | Biometrics method based on finger thermal image |
CN101504722A (en) * | 2009-03-20 | 2009-08-12 | 公安部第一研究所 | Multi-mode combined identity authentication system and method |
CN201302723Y (en) * | 2008-10-29 | 2009-09-02 | 北京市新技术应用研究所 | Online multi-spectral palm image collecting instrument |
-
2010
- 2010-12-27 CN CN201010607047.6A patent/CN102567707B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2446493A (en) * | 2007-02-09 | 2008-08-13 | Ligh Tuning Tech Inc | Biometrics method based on finger thermal image |
CN201302723Y (en) * | 2008-10-29 | 2009-09-02 | 北京市新技术应用研究所 | Online multi-spectral palm image collecting instrument |
CN101504722A (en) * | 2009-03-20 | 2009-08-12 | 公安部第一研究所 | Multi-mode combined identity authentication system and method |
Non-Patent Citations (1)
Title |
---|
吉紫娟: "指纹与静脉复合识别系统的图像采集", 《湖北第二师范学院学报》 * |
Cited By (32)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103116741A (en) * | 2013-01-28 | 2013-05-22 | 天津理工大学 | Capture and identification system for blending images of palm veins and palm prints |
CN103927018B (en) * | 2014-04-28 | 2017-03-29 | 联想(北京)有限公司 | Control method, device and electronic equipment |
CN103927018A (en) * | 2014-04-28 | 2014-07-16 | 联想(北京)有限公司 | Control method and device and electronic equipment |
CN104463112A (en) * | 2014-11-27 | 2015-03-25 | 深圳市科葩信息技术有限公司 | Method and system for carrying out biological recognition through RGB+IR image sensor |
CN104463112B (en) * | 2014-11-27 | 2018-04-06 | 深圳市科葩信息技术有限公司 | A kind of method and identifying system that bio-identification is carried out using RGB+IR imaging sensors |
WO2016112546A1 (en) * | 2015-01-16 | 2016-07-21 | 深圳市维亿魄科技有限公司 | Mobile terminal and vein identification device thereof |
CN104615976A (en) * | 2015-01-16 | 2015-05-13 | 深圳市维亿魄科技有限公司 | Mobile terminal system, mobile terminal and vein recognition device |
CN104615976B (en) * | 2015-01-16 | 2018-09-28 | 深圳市维亿魄科技有限公司 | Mobile terminal system and its mobile terminal, vein identification device |
CN104992163A (en) * | 2015-07-22 | 2015-10-21 | 江苏天诚智能集团有限公司 | Optical device for simultaneously acquiring human face image and iris image and identity authentication method thereof |
CN106611430A (en) * | 2015-10-15 | 2017-05-03 | 杭州海康威视数字技术股份有限公司 | An RGB-D image generation method, apparatus and a video camera |
CN105426886B (en) * | 2015-12-09 | 2019-03-15 | Oppo广东移动通信有限公司 | A kind of face verification method and face verification device |
CN105426886A (en) * | 2015-12-09 | 2016-03-23 | 广东欧珀移动通信有限公司 | Face verification method and face verification device |
CN108427945A (en) * | 2017-03-06 | 2018-08-21 | 新多集团有限公司 | The multispectral adaptive palmmprint vena metacarpea collecting device of one kind and acquisition method |
CN107093231A (en) * | 2017-03-29 | 2017-08-25 | 广西科技大学 | Gate control system based on hand back vein |
CN109508588A (en) * | 2017-09-15 | 2019-03-22 | 杭州海康威视数字技术股份有限公司 | Monitoring method, device, system, electronic equipment and computer readable storage medium |
US11275952B2 (en) | 2017-09-15 | 2022-03-15 | Hangzhou Hikvision Digital Technology Co., Ltd. | Monitoring method, apparatus and system, electronic device, and computer readable storage medium |
CN111357013A (en) * | 2017-11-28 | 2020-06-30 | 指纹卡有限公司 | Biometric imaging system and method of determining a characteristic of a biometric object using a biometric imaging system |
CN108038479A (en) * | 2018-01-17 | 2018-05-15 | 昆山龙腾光电有限公司 | Fingerprint identification device and recognition methods |
CN109002818A (en) * | 2018-09-06 | 2018-12-14 | 深圳阜时科技有限公司 | Imaging system with 3D bio-identification function |
CN110770748B (en) * | 2019-04-25 | 2023-09-08 | 深圳市汇顶科技股份有限公司 | Optical fingerprint identification device, electronic equipment and fingerprint identification method |
CN110770748A (en) * | 2019-04-25 | 2020-02-07 | 深圳市汇顶科技股份有限公司 | Optical fingerprint identification device, electronic equipment and fingerprint identification method |
US11810395B2 (en) | 2019-04-25 | 2023-11-07 | Shenzhen GOODIX Technology Co., Ltd. | Optical fingerprint identification apparatus, electronic device and fingerprint identification method |
CN110210394A (en) * | 2019-05-31 | 2019-09-06 | Oppo广东移动通信有限公司 | Vein image acquisition method and Related product |
CN110210394B (en) * | 2019-05-31 | 2021-05-04 | Oppo广东移动通信有限公司 | Vein image acquisition method and related product |
CN111772560A (en) * | 2020-08-06 | 2020-10-16 | 山西医科大学 | Fluorescence endoscope imaging system and method based on dual-channel efficient transmission |
CN113011391A (en) * | 2021-04-25 | 2021-06-22 | 秦皇岛本征晶体科技有限公司 | Optical system and method for face recognition living body detection |
CN113011391B (en) * | 2021-04-25 | 2024-04-26 | 秦皇岛本征晶体科技有限公司 | Optical system and method for human face recognition living body detection |
CN113627344A (en) * | 2021-08-11 | 2021-11-09 | 苏州艾泽镭智能科技有限公司 | Dual biometric detection system, security identification method, application and electronic device |
CN114354514B (en) * | 2021-12-24 | 2024-02-09 | 南昌大学 | Non-contact multi-mode material sensing and identifying device |
CN114354514A (en) * | 2021-12-24 | 2022-04-15 | 南昌大学 | Non-contact multi-modal material perception and recognition device |
CN115120249B (en) * | 2022-05-19 | 2023-08-15 | 深圳未来脑律科技有限公司 | Bimodal brain function imaging device |
CN115120249A (en) * | 2022-05-19 | 2022-09-30 | 深圳未来脑律科技有限公司 | Bimodal brain function imaging device |
Also Published As
Publication number | Publication date |
---|---|
CN102567707B (en) | 2016-10-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102567707A (en) | Biological identification sensor and biological identification system | |
EP3118764B1 (en) | A biometric sensor apparatus for authenticating a user, and a user authenticating method | |
US20190365231A1 (en) | Apparatus and method for detecting biological information | |
CN101116609B (en) | Scanning type automatic zooming iris image gathering system and gathering method thereof | |
CN102542258B (en) | Imaging device based on finger biometric information and multimoding identity recognition method | |
EP3073414B1 (en) | A biometric sensor for detection of wrist blood vessels in a wrist strap | |
CN102496007B (en) | Human body identity identification instrument | |
WO2005109314A2 (en) | Method and apparatus for discriminating ambient light in a fingerprint scanner | |
US20150062319A1 (en) | Authentication apparatus, prism member for authentication and authentication method | |
US10528834B2 (en) | Biometric sensor for detection of wrist blood vessels in a wristwatch or wristband | |
TW201012437A (en) | Optical system, procedure and computer programme to detect the presence of a living biological element | |
CN102103685A (en) | Optical fingerprint identification device with living body scanning function and identification method | |
US10003771B2 (en) | Biological imaging device and biological imaging method | |
CN104992163A (en) | Optical device for simultaneously acquiring human face image and iris image and identity authentication method thereof | |
KR100995668B1 (en) | Apparatus of capturing bio-metrics information by using hot-mirror | |
CN208938124U (en) | A kind of contactless palmmprint vena metacarpea mixing identifying system | |
Fairuz et al. | Convolutional neural network-based finger vein recognition using near infrared images | |
CN109190603A (en) | A kind of contactless palmmprint vena metacarpea mixing identifying system | |
JP2007219624A (en) | Blood vessel image input device and personal identification system | |
CN203733135U (en) | Finger vein recognition system based on 808nm laser | |
CN203552271U (en) | System for obtaining complete palm vein image | |
CN110741382A (en) | Biological feature recognition device and method and electronic equipment | |
CN202033766U (en) | Reflection-type finger vein characteristic acquisition device | |
Mil'shtein et al. | Line scanner for biometric applications | |
JP2008269534A (en) | Biometric authentication system, authentication server, terminal device, and biometric authentication method |
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 |