CN1975765A - Electronic certificate based on human body double-biological characteristic and certificate holder identity recognition integrated machine - Google Patents
Electronic certificate based on human body double-biological characteristic and certificate holder identity recognition integrated machine Download PDFInfo
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- CN1975765A CN1975765A CN 200610129633 CN200610129633A CN1975765A CN 1975765 A CN1975765 A CN 1975765A CN 200610129633 CN200610129633 CN 200610129633 CN 200610129633 A CN200610129633 A CN 200610129633A CN 1975765 A CN1975765 A CN 1975765A
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Abstract
The invention is an integrated machine based on human due-biological characteristics to identify electronic certificates and the identity of the holders. The machine includes: eye CCD sensor, hand CCD sensor, electronic certificates reader/writer, and embedded processor. Based on the high-speed DSP embedded system technology, together with image processing, optical-electronic information processing, RF card technology, the invention proposes the integrated machine for reading from electronic certificates, acquisition and processing of certificate holders iris and hand back vascular images as well as identification.
Description
[technical field]: the invention belongs to identity identification technical field, particularly a kind of living creature characteristic recognition system.
[background technology]: certificate is an important tool in modern humans's social life always, and various certificates such as I.D., bank card, passport are played the part of important role in daily life.Corresponding is that false evidence spreads unchecked thereupon with it, and the false evidence advertisement of putting up everywhere is exactly its best explanation.False evidence often occurs using, perhaps true card is made by illegal possessor and is used for carrying out various illegal activities, national security, financial order, social stability has been caused great adverse effect.How to stop false evidence? how to accomplish people, card unification? this is the vital task of pendulum in face of us.
Development of science and technology provides answer for addressing this problem.Present electronic certificate carries internal memory, can storaging mark information, provide carrier for addressing this problem.
Since the last century the nineties, be treated to the basis with optical imagery, the biological identification technology that relates to a plurality of ambits such as pattern-recognition, bio-science, computer science has become a forward position both domestic and external and popular cross discipline.At present, academia has carried out research in various degree to nearly 20 kinds of biological characteristics such as fingerprint, irises.Research and experience show that these physical traits of human body have not reproducible characteristics, therefore can identify people's identity in view of the above.Based on these features, people have been developed multiple biological identification technologies such as fingerprint recognition, shape of face identification, iris recognition, and the research of present many biological identification technologies has all obtained certain achievement, and some has obtained preliminary promotion and application.People find in actual applications, iris has characteristics such as ubiquity, uniqueness, stability, reliability, non-infringement, collection property, become the emphasis of Study of recognition, and, recently having occurred again with the palm veins beneath the skin is the biological identification technology of research object, it has with the same advantage of iris, and research has a extensive future.Owing to invariant feature, vivo identification characteristics and the high security feature of iris and the back of the hand blood vessel, investigate the biological characteristic of body iris and the back of the hand blood vessel simultaneously, will greatly improve the accuracy rate of identification and false proof security.
China bio-identification market is used for physical security field and information security fields such as USB flash disk, portable hard drive such as gate inhibition, lock based on fingerprint recognition more at present, and private application is more.Continuous maturation along with high-end recognition technologies such as domestic iris, hand blood vessels, cost reduces, and enter practical field, be used for the order scale of national defense safety needs and the order scale of using by each big industry organizations such as Master Card Internationals that is used for information security by government procurement, the overall development speed in China bio-identification market will obviously be promoted, on the basis that application deepens continuously and industry standard is determined, Chinese biological recognition technology and industry will present the constantly development trend of expansion of market fast development, industry size.The application of bio-identification electronic certificate will make to substitute identity and get his person property and wait illegal activities to be controlled effectively, and protection more efficiently will be provided for the people's safety of life and property.
Development from present technology, it is perfectly safe only to adopt human body biological characteristics to discern to be difficult to accomplish, in considerable time, electronic certificate will become crucial living things feature recognition carrier, realize people and card, card and storehouse (database), storehouse and people's mutual comparison and checking system (scheme as the second generation I.D. of carrying out has just adopted), all will obtain in fields such as E-Passport, intelligent resident certificate, Intelligent Bank card, electronics social security card, electron medical treatment cards from now on implementing.
[summary of the invention]: the purpose of this invention is to provide a kind of anti-tamper security reliable identity recognition system that can carry out higher identification of accuracy rate and electronic certificate to electronic certificate and holder, promptly a kind of electronic certificate and holder identity recognition integrated machine based on the twin thing feature of human body.
Electronic certificate and holder identity recognition integrated machine based on the twin thing feature of human body provided by the invention comprise:
---eye CCD sensor, be used to gather the iris image of holder, and with this image information input flush bonding processor;
---hand CCD sensor, be used to gather accredited back of people's hand blood-vessel image, and with this image information input flush bonding processor;
---electronic certificates reader, be connected with flush bonding processor, be used to read or write the living things feature recognition sign that shows holder identity ID;
---flush bonding processor, be used for the image of gathering is handled, and result of calculation is write electronic certificate, or the eigenwert of transferring in result of calculation and eigenwert of reading from electronic certificate and the all-in-one database is mated, carry out true and false judgement.Wherein flush bonding processor mainly comprises the programmable logic device (CPLD) of digital signal processor (DSP) and on-site programmable gate array FPGA or complexity etc.
Technology path that the present invention is concrete and scheme:
1) gather iris and the back of the hand blood-vessel image simultaneously, during collection, the place that the people stands and fixes, face is over against eye CCD sensor, and the right hand is clenched fist, and the back of the hand is over against hand CCD sensor.For obtaining the discomfort that the better image quality does not cause eye simultaneously, adopt the suitable illumination models of tool analysis such as LightTool.
2) there is distortion in optical lens itself, because the difference of eyeball, hand position can cause same people's iris and the back of the hand blood-vessel image image and inequality, and because the off-centre of position can cause the distortion of image.The off-centre that camera lens etc. cause can be come by adopting the demarcation of color model and how much models to demarcate to correct.The pattern distortion that the position difference causes is intrinsic in the gatherer process, solves by recognizer.
3) use drives 3 road CCD cameras simultaneously with a slice DSP (digital signal processor) and finishes collection.The view data of gathering is stored in the internal memory through A/D, FPGA, EDMA under the control of FPGA, in this process, use FPGA to picture signal go hot-tempered, correct pre-service such as lens distortion.
4) iris and the back of the hand blood-vessel image are handled respectively, handle iris image earlier.
5) iris image is carried out pre-service, through framing, find out the iris center of circle and interior external diameter, and iris image is carried out normalization and enhancing, for iris recognition and coding are prepared.
6) each iris all comprises a unique structure based on features such as picture hat, crystalline, filament, spot, structure, concave point, ray, wrinkle and stripeds.Adopt improved these features of Gabor Algorithm Analysis, it is carried out phase encoding.
7) consider that the correlativity of iris is stronger, stronger persistence length is arranged, investigate its autocorrelation performance and carry out identification.Simultaneously,, the image of iris can be stored, the cross-correlation coefficient feature between two width of cloth images can be investigated simultaneously if the memory capacity on the electronic certificate is enough big.
8) adversary's dorsal blood vessel, image normalization hot-tempered through the past, dynamically obtain the vascular distribution feature after binaryzation, filtering, the refinement.
9) analyze the blood vessel feature, its streakline intersection point, section point, curvature, length, thickness, relative position etc. are analyzed identification.
10) consider that the parameter that need investigate is many, operand is big, considers during realization that the FPGA of algorithm part realizes and parallel algorithm.
11) analysis result of iris and the back of the hand blood-vessel image is encoded, the code that formation can its feature of concentrated expression is exported as its identity ID.
12) in the read-write equipment of equipment itself, use this identity ID to deposit certificate in as the identifier of electronic certificate.
13) during verification certificate legitimacy, use this identity ID to mate, discern its true and false, and the recognition result input shown or control corresponding mechanism action with the ID in the electronic certificate.
14) the TCP/IP procotol of the own support standard of equipment, can with seamless the integrating of external network architecture, realize sharing and interconnecting of information, share the embedded database of all-in-one.
15) based on the consideration of safety factor, in the electronic certificate and the data in the network preserve with encrypted form, ensure the safety of data.
Take into full account modular design when 16) image module collection and arithmetic section design, can make up according to actual needs, meet the different needs.
Advantage of the present invention and good effect: the embedded system technology that the present invention is based on high-speed dsp (digital signal processor), and combining image is handled, optoelectronic information is handled, the radio-frequency card technology, has proposed that the sub-certificate information of a kind of current collection reads, collection, the processing of the iris of holder, the back of the hand blood-vessel image, has discerned electronic certificate and possessor's multi-biological characteristic identity recognition integrated machine in one.This under certain photoenvironment, uses a plurality of CCD cameras to gather the biometric image of the iris of human body, the back of the hand blood vessel simultaneously based on the electronic certificate of the twin thing feature of human body and holder identity recognition integrated machine, and these images are handled the back coding.This coding is write electronic certificate as its identification marking, promptly as its identity ID.When the certificate possessor uses certificate, same its above-mentioned two biological characteristics of gathering are discerned, and the result comparison of the result of computing with the electronic certificate preservation, with result's comparison of one machine data storehouse preservation, with checking certificate and possessor's thereof the true and false, really accomplish " testimony of a witness unification ".Owing to merged iris and two kinds of biometrics identification technologies of the back of the hand blood vessel, the recognition capability of its system and robustness be single living creature characteristic recognition system can not compare.Simultaneously, owing to used embedded system technology, volume is little, and the stability of system is high, is suitable for complex conditions uses down such as industry spot.
[description of drawings]:
Fig. 1 is an all-in-one profile synoptic diagram of the present invention;
Fig. 2 is the all-in-one machine structure block diagram;
Fig. 3 is an all-in-one accreditation process flow diagram flow chart;
Fig. 4 is a checking electronic certificate process flow diagram flow chart.
[embodiment]:
Embodiment 1:
As shown in Figure 1, 2, should comprise based on the electronic certificate and the holder identity recognition integrated machine of the twin thing feature of human body:
---eye CCD sensor (comprising 1 left eye camera A, 2 right eye camera B), be used to gather the iris image of holder, and with this image information input flush bonding processor;
---hand CCD sensor (3 right hand the back of the hand camera C), be used to gather accredited back of people's hand blood-vessel image, and with this image information input flush bonding processor;
---electronic certificates reader 4, be connected with flush bonding processor, be used to read or write the living things feature recognition sign that shows holder identity ID;
---flush bonding processor mainly comprises the programmable logic device (CPLD) of digital signal processor (DSP) and on-site programmable gate array FPGA or complexity etc.Be used for the image of gathering is handled, and result of calculation is write electronic certificate, or the eigenwert of transferring in result of calculation and eigenwert of reading from electronic certificate and the all-in-one database is mated, carry out true and false judgement.
Practical application:
As shown in Figure 3, Figure 4, workflow of the present invention is divided into manufactures electronic certificate flow process such as Fig. 3 and checking electronic certificate flow process, as shown in Figure 4.When making electronic certificate, gather certificate possessor's iris and the back of the hand blood-vessel image of the right hand, through forming the identify label number (identity ID) of holder after the calculation process, by writing in the storer that the card device is written to electronic certificate.
During check, gather holder iris and the back of the hand angiogenesis identity ID equally, compare with the information that reads the preservation of canned data and all-in-one database from certificate, whether the checking certificate is consistent with holder.
The course of work is as follows:
1) holder to be tested is put into card reader to certificate, eye alignment two iris image acquiring video cameras A and B, the right hand the back of the hand aligned with camera C (as shown in Figure 2) that clenches fist, and the temperature sensor detecting temperature signal of system is used to start image acquisition work.
2) temperature sensor is as trigger pip, and triggering system is moved.DSP control ccd video camera A, B gather an image as still image, and the weak flashlamp of control makes pupil contraction gather the image of iris once more again.Control the blood-vessel image that C gathers the back of the hand simultaneously.
3) after the view data of gathering was changed through A/D, the EDMA (direct memory access (DMA) of enhancing) by DSP inside under the control of FPGA collected in the internal memory.FPGA carries out pre-service work such as denoising simultaneously to image in this process.
4) DSP and FPGA cooperation is handled image, handles iris and the back of the hand blood-vessel image respectively.
5) iris image is positioned impact point, binaryzation is analyzed textural characteristics, processing such as computation of characteristic values, and the image according to twice collection judges whether it is that the live body target is to prevent forgery simultaneously.
6) adversary's dorsal blood vessel carries out target localization, binaryzation, and refinement, the analysis distribution feature obtains identity ID after the processing such as computation of characteristic values.
7) in making the process of electronic certificate, this identity ID is write in the storer of electronic certificate identification number as certificate.
During check, gather iris and the back of the hand blood-vessel image and the calculating of holder once more, the eigenwert of transferring in result of calculation and eigenwert of reading from electronic certificate and the all-in-one database (if eigenwert is stored) is mated, carry out true and false judgement.
Claims (2)
1, a kind of electronic certificate and holder identity recognition integrated machine based on the twin thing feature of human body is characterized in that this all-in-one comprises:
---eye CCD sensor, be used to gather the iris image of holder, and with this image information input flush bonding processor;
---hand CCD sensor, be used to gather accredited back of people's hand blood-vessel image, and with this image information input flush bonding processor;
---electronic certificates reader, be connected with flush bonding processor, be used to read or write the living things feature recognition sign that shows holder identity ID;
---flush bonding processor, be used for the image of gathering is handled, and result of calculation is write electronic certificate, or the eigenwert of transferring in result of calculation and eigenwert of reading from electronic certificate and the all-in-one database is mated, carry out true and false judgement.
2, electronic certificate and holder identity recognition integrated machine based on the twin thing feature of human body according to claim 1 is characterized in that flush bonding processor comprises:
---digital signal processor (DSP);
---on-site programmable gate array FPGA, or complicated programmable logic device (CPLD), be used for the picture signal of ccd sensor input is carried out pre-service, and the signal after will handling is sent into digital signal processor;
---the database storing module, be connected with digital signal processor is two-way, be used to store the living things feature recognition identification data that shows holder identity ID.
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| Application Number | Priority Date | Filing Date | Title |
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| CN 200610129633 CN1975765A (en) | 2006-11-28 | 2006-11-28 | Electronic certificate based on human body double-biological characteristic and certificate holder identity recognition integrated machine |
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| CN 200610129633 CN1975765A (en) | 2006-11-28 | 2006-11-28 | Electronic certificate based on human body double-biological characteristic and certificate holder identity recognition integrated machine |
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| CN1975765A true CN1975765A (en) | 2007-06-06 |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102222216A (en) * | 2011-06-02 | 2011-10-19 | 天津理工大学 | Identification system based on biological characteristics of fingerprints |
| CN102411719A (en) * | 2011-10-11 | 2012-04-11 | 朱建宗 | Calligraphy and painting transaction identifier |
| CN102436709A (en) * | 2011-11-08 | 2012-05-02 | 广州宝胆医疗器械科技有限公司 | Anti-theft system based on color Doppler ultrasonic scanning and infrared scanning |
| CN101441711B (en) * | 2008-11-18 | 2012-05-30 | 华南理工大学 | Identification authentication system based on finger print and hand back vein |
| CN102509372A (en) * | 2011-11-08 | 2012-06-20 | 广州宝胆医疗器械科技有限公司 | Color-Doppler-ultrasonic-scanning-based antitheft system |
| CN102999957A (en) * | 2012-09-22 | 2013-03-27 | 华南理工大学 | Safe case system based on ultrasonic wave imaging and recognition technology and key thereof |
| CN108961485A (en) * | 2018-05-07 | 2018-12-07 | 金联汇通信息技术有限公司 | Intelligent door lock, auth method and device |
| CN112685704A (en) * | 2021-02-26 | 2021-04-20 | 吴伟运 | Verification method and terminal for combining multiple kinds of protection into one interface based on electronic equipment |
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2006
- 2006-11-28 CN CN 200610129633 patent/CN1975765A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101441711B (en) * | 2008-11-18 | 2012-05-30 | 华南理工大学 | Identification authentication system based on finger print and hand back vein |
| CN102222216A (en) * | 2011-06-02 | 2011-10-19 | 天津理工大学 | Identification system based on biological characteristics of fingerprints |
| CN102411719A (en) * | 2011-10-11 | 2012-04-11 | 朱建宗 | Calligraphy and painting transaction identifier |
| CN102436709A (en) * | 2011-11-08 | 2012-05-02 | 广州宝胆医疗器械科技有限公司 | Anti-theft system based on color Doppler ultrasonic scanning and infrared scanning |
| CN102509372A (en) * | 2011-11-08 | 2012-06-20 | 广州宝胆医疗器械科技有限公司 | Color-Doppler-ultrasonic-scanning-based antitheft system |
| CN102999957A (en) * | 2012-09-22 | 2013-03-27 | 华南理工大学 | Safe case system based on ultrasonic wave imaging and recognition technology and key thereof |
| CN102999957B (en) * | 2012-09-22 | 2015-07-29 | 华南理工大学 | Based on safe system and the secret key thereof of ultrasonic imaging and recognition technology |
| CN108961485A (en) * | 2018-05-07 | 2018-12-07 | 金联汇通信息技术有限公司 | Intelligent door lock, auth method and device |
| CN112685704A (en) * | 2021-02-26 | 2021-04-20 | 吴伟运 | Verification method and terminal for combining multiple kinds of protection into one interface based on electronic equipment |
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Open date: 20070606 |