CN101006923A - Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand and recognition method - Google Patents
Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand and recognition method Download PDFInfo
- Publication number
- CN101006923A CN101006923A CNA2007100565007A CN200710056500A CN101006923A CN 101006923 A CN101006923 A CN 101006923A CN A2007100565007 A CNA2007100565007 A CN A2007100565007A CN 200710056500 A CN200710056500 A CN 200710056500A CN 101006923 A CN101006923 A CN 101006923A
- Authority
- CN
- China
- Prior art keywords
- identity
- dorsum
- hand
- vein
- ccd sensor
- 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)
Abstract
The invention discloses an identity recognizer and recognizing method of human hand hypodermal vein vessel character, which comprises the following parts: CCD sensor, A/D switcher and insert-typed processor, wherein the identity recognizing method comprises the following steps: 1) establishing database; reserving hand hypodermal vein vessel character into SDRAM; proceeding digital image disposal through high-speed DSP chip; reserving identity character ID into database; 2) testing the identity; judging whether the ID in the database is legal.
Description
Technical field
The present invention relates to a kind of human body biological characteristics identity identification technical field.Particularly relate to a kind of light harvesting, Flame Image Process, pattern recognition, biology, the multidisciplinary technology of reporting to the leadship after accomplishing a task of embedded system, and resolution and discrimination height, volume is little, system stability, identity recognition instrument and the recognition methods thereof based on the characteristics of subcutaneous vein of dorsum of hand that are suitable for using in the site environment.
Background technology
Identification is to be that important component part among the human lives and daily life, work are closely bound up always.Particularly at some important departments such as national defence, military affairs, banks, check discrepancy personnel's legal identity is a loaded down with trivial details and important job.Means of identification commonly used at present comprises special key, electronic cards, password etc., but all there is easily serial problem such as forge, lose, emerging identity recognizing technology based on human body biological characteristics is emerging a kind of bio-identification, can effectively overcome the shortcoming of original means of identification.
Can require have uniqueness as the human body biological characteristics of identifying object, invariance, easy characteristics such as collection property.Can adopt biological characteristic mainly to comprise at present: fingerprint, iris, appearance, hands blood vessel etc.In numerous identifying schemes, fingerprint identification technology is present most convenient, reliable, non-infringement and technical relative sophisticated biological identification technology.Yet fingerprint recognition also has the shortcoming of self: 1) fingerprint of some people or colony is not because fingerprint characteristic seldom, reaches the requirement of filing; 2) extensive use of crime fingerprint database in global juridical practice of Automated Fingerprint Identification System makes people keep a sharp lookout; 3) each use all can stay user's finger mark on fingerprint capturer, and these impressions may be used to duplicate fingerprint.There are shortcomings such as malleable, collection inconvenience in appearance, iris biological identification technology, so inconvenient extensive use.And the back of the hand blood vessel of human body is under near infrared light, and its venae subcutaneae vascularity feature is unique, and left and right two handss also are different.And no longer change after growing up, also be difficult for forging with the age.Be suitable as biological anti-counterfeiting characteristic,
Summary of the invention
Technical problem to be solved by this invention is, a kind of light harvesting, Flame Image Process, pattern recognition, biology, the multidisciplinary technology of reporting to the leadship after accomplishing a task of embedded system are provided, and resolution and discrimination height, volume is little, system stability, identity recognition instrument and the recognition methods thereof based on the characteristics of subcutaneous vein of dorsum of hand that are suitable for using in the site environment.
The technical solution adopted in the present invention is: a kind of identity recognition instrument and recognition methods thereof based on characteristics of subcutaneous vein of dorsum of hand.Wherein, the identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand includes: the ccd sensor that is used to gather the subcutaneous vein of dorsum of hand image; Link to each other with ccd sensor and the picture signal of ccd sensor output to be converted to the A/D converter of digital signal; Receiving digital signals and storing, the flush bonding processor that digital signal of gathering and the data of having stored are compared, analyze, handle simultaneously link to each other with A/D converter.
Described ccd sensor is the collection of carrying out the subcutaneous vein of dorsum of hand image under the irradiation of near-infrared light source.
Described flush bonding processor includes: picture signal is carried out denoising, corrected the pretreated field programmable gate array FPGA of lens distortion; The digital signal processor DSP that links to each other and receive its output signal and signal is handled with field programmable gate array FPGA; Link to each other with digital signal processor DSP is two-way, be used to store the data base's memory module of vein blood vessel image identification ID under competent person's the dorsal cutaneous.
Described flush bonding processor also is provided with digital signal processor DSP and links to each other, and is used to store the synchronous DRAM SDRAM of vein blood vessel image digitization information under people's dorsal cutaneous.
Also being provided with links to each other with digital signal processor DSP by plug connector receives the keyboard of user instruction.
Also be provided with the liquid crystal display LED that links to each other and show assay with the output of digital signal processor DSP by plug connector.
Based on the personal identification method of characteristics of subcutaneous vein of dorsum of hand, be by finishing as the next stage:
Phase I: set up the data base, concrete steps are as follows:
1) under the near-infrared light source irradiation, adopt the colour plane array ccd sensor that vein blood vessel under the dorsal cutaneous is gathered, the image that ccd sensor is obtained is stored among the SDRAM;
2) with the high-speed dsp chip data of gathering are carried out Digital Image Processing, form identity characteristic ID after employing multiresolution algorithm extracts its eigenvalue;
3) the identity ID that will form identity characteristic stores among the data base;
Second stage: identity is assaied, and concrete steps are as follows:
1) under the near-infrared light source irradiation, adopt the colour plane array ccd sensor that vein blood vessel under the dorsal cutaneous is gathered, the image that ccd sensor is obtained is stored among the SDRAM;
2) with the high-speed dsp chip data of gathering are carried out Digital Image Processing, form identity characteristic ID after employing multiresolution algorithm extracts its eigenvalue;
3) it is right the identity characteristic ID of gained to be carried out matching ratio with data base stock's identity characteristic ID, judges its similarity by neural network algorithm, thereby judges whether identity is legal;
4) result with processing and identification passes through liquid crystal display screen, voice output, exports driving pulse simultaneously.
Describedly the data of gathering are carried out Digital Image Processing with the high-speed dsp chip, including gatherer process is stored in the internal memory through A/D, FPGA, EDMA under FPGA control, in this process, use FPGA picture signal to be carried out pretreatment such as denoising, correction lens distortion, correct lens distortion by adopting the color model to demarcate with how much models demarcation; Obtain the vascularity feature after the denoising of adversary's dorsal blood vessel process, image normalization, dynamic binaryzation, filtering, the refinement; Analyze the blood vessel feature, its streakline intersection point, section point, curvature, length, thickness, relative position etc. are analyzed identification.
It is right that described identity characteristic ID with gained carries out matching ratio with the identity characteristic ID that the data base deposited, and includes thick registration and smart registration two parts.
Of the present invention the feature of vein blood vessel under the dorsal cutaneous as the human body identify label, its characteristic point is up to more than 100, resolution and discrimination are higher than fingerprint, palmmprint, roughly are in same level with iris.The collection of the back of the hand blood vessel is simple relatively, and belonging to is the non-intrusion type collection, compares with the collection of iris image, is easy to people accept, and is subjected to the influence of surround lighting unlike iris.The present invention combines the living things feature recognition of hands dorsal blood vessel with the embedded system technology that with the high-speed dsp is core, cast aside traditional Computer Processing pattern, and volume is little, system stability, be suitable for using in the site environment.
The present invention does not need computer to connect, and can various gate control systems be installed easily or other need in the system of identification.The TCP/IP procotol of the support standard of equipment own, can with seamless the integrating of external network architecture, realize sharing and interconnecting of information, share embedded data base.Data such as the identity ID of device interior are preserved with encrypted form, ensure the safety of data.Image module collection and arithmetic section can make up according to actual needs, meet the different needs.
Description of drawings
Fig. 1 is that structure of the present invention constitutes block diagram;
Fig. 2 is a light source irradiation sketch map of the present invention;
Fig. 3 is that overall structure of the present invention constitutes sketch map.
Wherein:
1:CCD sensing 2:A/D transducer
3: flush bonding processor 4: field programmable gate array FPGA
5: digital signal processor DSP 6: data base's memory module
7: near-infrared light source 8: the back of the hand
9: identity ID 10: synchronous DRAM SDRAM
11: serial line interface RS-232 12: unified asynchronism transceiver UART
13: house dog LOCK 14: debugging interface JTAG
15: power supply
The specific embodiment
Below in conjunction with embodiment identity recognition instrument and the recognition methods thereof based on characteristics of subcutaneous vein of dorsum of hand of the present invention made a detailed description.
Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand of the present invention includes: the ccd sensor 1 that is used to gather the subcutaneous vein of dorsum of hand image; Link to each other with ccd sensor 1 and the picture signal of ccd sensor 1 output to be converted to the A/D converter 2 of digital signal; Receiving digital signals and storing, the flush bonding processor 3 that digital signal of gathering and the data of having stored are compared, analyze, handle simultaneously link to each other with A/D converter 2.
Described flush bonding processor 3 includes: picture signal is carried out denoising, corrected the pretreated field programmable gate array FPGA4 of lens distortion; The digital signal processor DSP 5 that links to each other and receive its output signal and signal is handled with field programmable gate array FPGA4; With 5 two-way linking to each other of digital signal processor DSP, be used to store the data base's memory module 6 of vein blood vessel image identification ID under competent person's the dorsal cutaneous.
As shown in Figure 3, described flush bonding processor 3 also is provided with digital signal processor DSP 5 and links to each other, and is used to store the synchronous DRAM SDRAM10 of vein blood vessel image digitization information under the dorsal cutaneous.
As shown in Figure 3, also being provided with links to each other with digital signal processor DSP 5 by plug connector J1 receives the keyboard of user instruction, with the liquid crystal display LED that links to each other and show assay by plug connector J2 and the output of digital signal processor DSP 5.
In addition, also be provided with: be used for the serial line interface RS-232 11 of swap data; The unified asynchronism transceiver UART12 that links to each other with serial line interface RS-232 11 and link to each other with digital signal processor DSP 5, data base's memory module 6, synchronous DRAM SDRAM10 respectively by enhancement mode external memory interface EMIF; The house dog LOCK13 of restarting systems when system exception; And debugging interface JTAG14.
As shown in Figure 2, described ccd sensor 1 is the collection of carrying out the subcutaneous vein of dorsum of hand image under the irradiation of near-infrared light source 7.Promptly by colored area array CCD device as images acquired pick off 1, utilize near-infrared LED to form array and form near-infrared light source 7, the back of the hand 8 is formed evenly illumination.Under the infrared light supply uniform irradiation, gather the venae subcutaneae blood-vessel image of the back of the hand.
And the identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand of the present invention based on Embedded System Design, does not need computer to connect, and can various gate control systems be installed easily or other need in the system of identification.The TCP/IP procotol of the support standard of equipment own, can with seamless the integrating of external network architecture, realize sharing and interconnecting of information, share embedded data base.Data such as the identity ID of device interior are preserved with encrypted form, ensure the safety of data.Take into full account modularized design when image module collection and arithmetic section design, can make up according to actual needs, meet the different needs.
Embedded main process chip among the present invention is selected the high-speed dsp processor TMS320DM642 of American TI Company for use.
Data base's memory module 6 adopts 128M NFLASH storage chip.
Personal identification method based on characteristics of subcutaneous vein of dorsum of hand of the present invention is characterized in that, is by finishing as the next stage:
Phase I: set up the data base, promptly at first set up the property data base of vein blood vessel under competent person's the dorsal cutaneous.Concrete steps are as follows:
1) right hand is clenched fist, and the back of the hand adopts the colour plane array ccd sensor to gather vein blood vessel image under the dorsal cutaneous under near infrared light over against ccd sensor;
2) gatherer process is stored in the internal memory through A/D, FPGA, EDMA under FPGA control, promptly is stored among the synchronous DRAM SDRAM10.In this process, use FPGA picture signal to be carried out pretreatment such as denoising, correction lens distortion, correct lens distortion by adopting the color model to demarcate with how much models demarcation.
3) with the high-speed dsp chip data of gathering are carried out Digital Image Processing: obtain the vascularity feature after the denoising of adversary's dorsal blood vessel process, image normalization, dynamic binaryzation, filtering, the refinement; Analyze the blood vessel feature, its streakline intersection point, section point, curvature, length, thickness, relative position etc. are analyzed identification; Consider that the parameter that need investigate is many, operand is big, adopts parallel algorithm and FPGA hardware to realize jointly; The analysis result of adversary's dorsal blood vessel image is encoded, and the code that forms its feature of reflection is saved in data base's memory module 6 as its identity ID.So far finish data base's foundation.
Second stage: identity is assaied, and concrete steps are as follows:
1) right hand is clenched fist, and the back of the hand adopts the colour plane array ccd sensor to gather vein blood vessel image under the dorsal cutaneous under near infrared light over against ccd sensor;
2) gatherer process is stored in the internal memory through A/D, FPGA, EDMA under FPGA control, promptly is stored among the synchronous DRAM SDRAM10.In this process, use FPGA picture signal to be carried out pretreatment such as denoising, correction lens distortion, correct lens distortion by adopting the color model to demarcate with how much models demarcation.
3) with the high-speed dsp chip data of gathering are carried out Digital Image Processing: obtain the vascularity feature after the denoising of adversary's dorsal blood vessel process, image normalization, dynamic binaryzation, filtering, the refinement; Analyze the blood vessel feature, its streakline intersection point, section point, curvature, length, thickness, relative position etc. are analyzed identification; Consider that the parameter that need investigate is many, operand is big, adopts parallel algorithm and FPGA hardware to realize jointly; The analysis result of adversary's dorsal blood vessel image is encoded, and the code that forms its feature of reflection is as its identity ID;
4) the identity ID that obtains is mated with the content of depositing among the data base, matching process is divided into thick registration and smart registration two parts, with raising speed;
At first carry out thick registration, the feature among feature to be tested and the data base is roughly compared rapidly, find out the best characteristic of registration effect;
Carry out smart registration again, the characteristic of being deposited among feature to be tested and the data base is carried out smart registration;
5) calculate the two similarity of thick registration and smart registration;
6) utilize neural net method to judge registration results, thereby judge the true and false of identity;
7) judged result is exported by output module,, exported driving pulse, access control system acting at the output port of response simultaneously respectively by liquid crystal display, auditory tone cues.
Judged result comprises legal, illegal, uncertain three kinds.Point out on the LCD LCDs according to different results, and send different auditory tone cueses, simultaneously at different mechanism actions such as port output high level pulse access control.
Claims (9)
1. the identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand is characterized in that, includes: the ccd sensor (1) that is used to gather the subcutaneous vein of dorsum of hand image; Link to each other with ccd sensor (1) and the picture signal of ccd sensor (1) output to be converted to the A/D converter (2) of digital signal; Link to each other with A/D converter (2), receiving digital signals is also stored, simultaneously the flush bonding processor (3) that digital signal of gathering and the data of having stored are compared, analyze, handle.
2. the identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand according to claim 1 is characterized in that, described ccd sensor (1) is the collection of carrying out the subcutaneous vein of dorsum of hand image under the irradiation of near-infrared light source (7).
3. the identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand according to claim 1, it is characterized in that described flush bonding processor (3) includes: picture signal is carried out denoising, corrected the pretreated field programmable gate array FPGA of lens distortion (4); The digital signal processor DSP (5) that links to each other and receive its output signal and signal is handled with field programmable gate array FPGA (4); With two-way linking to each other of digital signal processor DSP (5), be used to store the data base's memory module (6) of vein blood vessel image identification ID under competent person's the dorsal cutaneous.
4. the identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand according to claim 3, it is characterized in that, described flush bonding processor (3) also is provided with digital signal processor DSP (5) and links to each other, and is used to store the synchronous DRAM SDRAM (10) of vein blood vessel image digitization information under the dorsal cutaneous.
5. according to claim 1 or 3 described identity recognition instruments, it is characterized in that also being provided with links to each other with digital signal processor DSP (5) by plug connector (J1) receives the keyboard of user instruction based on characteristics of subcutaneous vein of dorsum of hand.
6. according to claim 1 or 3 described identity recognition instruments based on characteristics of subcutaneous vein of dorsum of hand, it is characterized in that, also be provided with the liquid crystal display LED that links to each other and show assay by the plug connector (J2) and the output of digital signal processor DSP (5).
7. the personal identification method based on characteristics of subcutaneous vein of dorsum of hand is characterized in that, is by finishing as the next stage:
Phase I: set up the data base, concrete steps are as follows:
1) under the near-infrared light source irradiation, adopt the colour plane array ccd sensor that vein blood vessel under the dorsal cutaneous is gathered, the image that ccd sensor is obtained is stored among the SDRAM;
2) with the high-speed dsp chip data of gathering are carried out Digital Image Processing, form identity characteristic ID after employing multiresolution algorithm extracts its eigenvalue;
3) the identity ID that will form identity characteristic stores among the data base;
Second stage: identity is assaied, and concrete steps are as follows:
1) under the near-infrared light source irradiation, adopt the colour plane array ccd sensor that vein blood vessel under the dorsal cutaneous is gathered, the image that ccd sensor is obtained is stored among the SDRAM;
2) with the high-speed dsp chip data of gathering are carried out Digital Image Processing, form identity characteristic ID after employing multiresolution algorithm extracts its eigenvalue;
3) it is right the identity characteristic ID of gained to be carried out matching ratio with data base stock's identity characteristic ID, judges its similarity by neural network algorithm, thereby judges whether identity is legal;
4) result with processing and identification passes through liquid crystal display screen, voice output, exports driving pulse simultaneously.
8. the personal identification method based on characteristics of subcutaneous vein of dorsum of hand according to claim 7, it is characterized in that, describedly the data of gathering are carried out Digital Image Processing with the high-speed dsp chip, including gatherer process is stored in the internal memory through A/D, FPGA, EDMA under FPGA control, in this process, use FPGA picture signal to be carried out pretreatment such as denoising, correction lens distortion, correct lens distortion by adopting the color model to demarcate with how much models demarcation; Obtain the vascularity feature after the denoising of adversary's dorsal blood vessel process, image normalization, dynamic binaryzation, filtering, the refinement; Analyze the blood vessel feature, its streakline intersection point, section point, curvature, length, thickness, relative position etc. are analyzed identification.
9. the personal identification method based on characteristics of subcutaneous vein of dorsum of hand according to claim 7, it is characterized in that, it is right that described identity characteristic ID with gained carries out matching ratio with the identity characteristic ID that the data base deposited, and includes thick registration and smart registration two parts.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNB2007100565007A CN100453040C (en) | 2007-01-23 | 2007-01-23 | Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand and recognition method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNB2007100565007A CN100453040C (en) | 2007-01-23 | 2007-01-23 | Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand and recognition method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN101006923A true CN101006923A (en) | 2007-08-01 |
CN100453040C CN100453040C (en) | 2009-01-21 |
Family
ID=38695752
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CNB2007100565007A Expired - Fee Related CN100453040C (en) | 2007-01-23 | 2007-01-23 | Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand and recognition method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN100453040C (en) |
Cited By (30)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101627913B (en) * | 2009-08-18 | 2011-06-08 | 清华大学深圳研究生院 | Identity information identification method and identity information identification system |
CN102100560A (en) * | 2009-12-21 | 2011-06-22 | 日立视听媒介电子股份有限公司 | Personal authentication apparatus and mobile communication terminal |
CN102441229A (en) * | 2010-09-30 | 2012-05-09 | 鼎迈医疗科技(苏州)有限公司 | Patient controller with security confidentiality function and implanted medical system |
CN102567717A (en) * | 2011-12-21 | 2012-07-11 | 成都众询科技有限公司 | Wireless fingerprint collection device based on digital signal processor (DSP) and field programmable gata array (FPGA) |
CN102592110A (en) * | 2010-11-12 | 2012-07-18 | 株式会社日立制作所 | Personal identification device and method |
CN102890772A (en) * | 2011-07-21 | 2013-01-23 | 常熟安智生物识别技术有限公司 | Palm vein recognition technical scheme |
CN103106399A (en) * | 2013-01-28 | 2013-05-15 | 天津理工大学 | Intelligent dorsal hand vein image collecting device |
CN103136503A (en) * | 2011-11-28 | 2013-06-05 | 常熟安智生物识别技术有限公司 | Venametacarpea electronic medical record system |
CN103136522A (en) * | 2011-11-28 | 2013-06-05 | 常熟安智生物识别技术有限公司 | Finger vein identification technical scheme |
CN103475799A (en) * | 2013-09-15 | 2013-12-25 | 贵州大学 | Real-time detection device for fruit tree agronomic parameters |
CN103530614A (en) * | 2013-10-16 | 2014-01-22 | 无锡优创生物科技有限公司 | Hand back line-based identification system and hand back line-based identification method |
CN104134062A (en) * | 2014-08-18 | 2014-11-05 | 朱毅 | Vein recognition system based on depth neural network |
CN104408453A (en) * | 2014-09-29 | 2015-03-11 | 北京理工大学 | Near-infrared subcutaneous vein segmentation method based on multi-feature clustering |
WO2015042783A1 (en) * | 2013-09-24 | 2015-04-02 | 北京正邦信息技术有限公司 | Non-contact palmprint authentication method and device and portable terminal |
CN104657728A (en) * | 2015-03-19 | 2015-05-27 | 江苏物联网研究发展中心 | Barcode recognition system based on computer vision |
CN104665767A (en) * | 2013-12-03 | 2015-06-03 | 保定河山成像设备有限公司 | Auxiliary blood vessel positioning device |
CN104799815A (en) * | 2015-03-26 | 2015-07-29 | 山东大学 | Image guidance based blood gas acquisition device and method |
CN105184272A (en) * | 2015-09-21 | 2015-12-23 | 中国人民解放军国防科学技术大学 | Hand vein recognition method based on curve matching |
CN105678876A (en) * | 2016-01-07 | 2016-06-15 | 天津理工大学 | Intelligent access control system based on hand back superficial vein recognition |
CN106033525A (en) * | 2015-03-17 | 2016-10-19 | 苏州长鼎兴智能科技有限公司 | Image-type bar-code scanner used for express item bar code identification |
CN106400385A (en) * | 2016-10-31 | 2017-02-15 | 无锡小天鹅股份有限公司 | Washing machine and control method and device thereof |
CN106570375A (en) * | 2016-10-31 | 2017-04-19 | 无锡小天鹅股份有限公司 | Washing machine, control method and apparatus of same |
CN106702664A (en) * | 2016-10-31 | 2017-05-24 | 无锡小天鹅股份有限公司 | Washing machine and human vein image recognition based control method and device |
CN108294728A (en) * | 2017-01-12 | 2018-07-20 | 财团法人工业技术研究院 | wound state analysis method and system |
CN109063097A (en) * | 2018-07-27 | 2018-12-21 | 广州友谱网络科技有限公司 | Data comparison and common recognition method based on block chain |
CN109145789A (en) * | 2018-08-09 | 2019-01-04 | 炜呈智能电力科技(杭州)有限公司 | Power supply system safety work support method and system |
CN109784083A (en) * | 2019-02-22 | 2019-05-21 | 吉林大学 | The bionical encryption system merged based on grip information with hand back vein information |
CN110543852A (en) * | 2019-09-03 | 2019-12-06 | 弘益科技发展(天津)有限公司 | Non-contact type animal identity vein identification scanner and identification method |
CN110580433A (en) * | 2018-06-11 | 2019-12-17 | 上海箩箕技术有限公司 | identity recognition device |
CN110960213A (en) * | 2019-12-10 | 2020-04-07 | 天津理工大学 | Pelvic floor probe, pelvic floor all-in-one machine, and pelvic floor probe anti-counterfeiting system and method |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3396680B2 (en) * | 2001-02-26 | 2003-04-14 | バイオニクス株式会社 | Biometric authentication device |
US20050180620A1 (en) * | 2002-05-09 | 2005-08-18 | Kiyoaki Takiguchi | Method of detecting biological pattern, biological pattern detector, method of biological certificate and biological certificate apparatus |
DE60327664D1 (en) * | 2003-08-13 | 2009-06-25 | Hitachi Ltd | PERSONAL IDENTIFICATION DEVICE |
KR100900901B1 (en) * | 2004-06-18 | 2009-06-03 | 고쿠리츠 다이가쿠 호진 큐슈 코교 다이가쿠 | Personal identification method by subcutaneous bloodstream measurement and personal identification device |
-
2007
- 2007-01-23 CN CNB2007100565007A patent/CN100453040C/en not_active Expired - Fee Related
Cited By (38)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101627913B (en) * | 2009-08-18 | 2011-06-08 | 清华大学深圳研究生院 | Identity information identification method and identity information identification system |
CN102100560A (en) * | 2009-12-21 | 2011-06-22 | 日立视听媒介电子股份有限公司 | Personal authentication apparatus and mobile communication terminal |
CN102100560B (en) * | 2009-12-21 | 2013-09-18 | 日立视听媒体股份有限公司 | Personal authentication apparatus and mobile communication terminal |
CN102441229A (en) * | 2010-09-30 | 2012-05-09 | 鼎迈医疗科技(苏州)有限公司 | Patient controller with security confidentiality function and implanted medical system |
CN102592110A (en) * | 2010-11-12 | 2012-07-18 | 株式会社日立制作所 | Personal identification device and method |
CN102592110B (en) * | 2010-11-12 | 2016-03-09 | 日立产业控制解决方案有限公司 | Person authentication device and method |
CN102890772A (en) * | 2011-07-21 | 2013-01-23 | 常熟安智生物识别技术有限公司 | Palm vein recognition technical scheme |
CN103136503A (en) * | 2011-11-28 | 2013-06-05 | 常熟安智生物识别技术有限公司 | Venametacarpea electronic medical record system |
CN103136522A (en) * | 2011-11-28 | 2013-06-05 | 常熟安智生物识别技术有限公司 | Finger vein identification technical scheme |
CN102567717A (en) * | 2011-12-21 | 2012-07-11 | 成都众询科技有限公司 | Wireless fingerprint collection device based on digital signal processor (DSP) and field programmable gata array (FPGA) |
CN103106399A (en) * | 2013-01-28 | 2013-05-15 | 天津理工大学 | Intelligent dorsal hand vein image collecting device |
CN103475799A (en) * | 2013-09-15 | 2013-12-25 | 贵州大学 | Real-time detection device for fruit tree agronomic parameters |
WO2015042783A1 (en) * | 2013-09-24 | 2015-04-02 | 北京正邦信息技术有限公司 | Non-contact palmprint authentication method and device and portable terminal |
US9928399B2 (en) | 2013-09-24 | 2018-03-27 | Beijing Zhboon Information Technology Co., Ltd. | Non-contact palmprint authentication method, device and mobile terminal |
RU2628178C1 (en) * | 2013-09-24 | 2017-08-15 | Бэйцзин Чжбоон Информэйшн Тэкнолоджи Ко., Лтд. | Method, device and mobile terminal for non-contact authentication according to the paper printing |
CN103530614A (en) * | 2013-10-16 | 2014-01-22 | 无锡优创生物科技有限公司 | Hand back line-based identification system and hand back line-based identification method |
CN104665767A (en) * | 2013-12-03 | 2015-06-03 | 保定河山成像设备有限公司 | Auxiliary blood vessel positioning device |
CN104134062A (en) * | 2014-08-18 | 2014-11-05 | 朱毅 | Vein recognition system based on depth neural network |
CN104408453A (en) * | 2014-09-29 | 2015-03-11 | 北京理工大学 | Near-infrared subcutaneous vein segmentation method based on multi-feature clustering |
CN104408453B (en) * | 2014-09-29 | 2017-12-15 | 北京理工大学 | Near-infrared venae subcutaneae dividing method based on multi-characters clusterl |
CN106033525A (en) * | 2015-03-17 | 2016-10-19 | 苏州长鼎兴智能科技有限公司 | Image-type bar-code scanner used for express item bar code identification |
CN104657728B (en) * | 2015-03-19 | 2018-01-09 | 江苏物联网研究发展中心 | Processing in Barcode Recognizing System based on computer vision |
CN104657728A (en) * | 2015-03-19 | 2015-05-27 | 江苏物联网研究发展中心 | Barcode recognition system based on computer vision |
CN104799815A (en) * | 2015-03-26 | 2015-07-29 | 山东大学 | Image guidance based blood gas acquisition device and method |
CN105184272B (en) * | 2015-09-21 | 2018-08-21 | 中国人民解放军国防科学技术大学 | Hand back vein identification method based on Curve Matching |
CN105184272A (en) * | 2015-09-21 | 2015-12-23 | 中国人民解放军国防科学技术大学 | Hand vein recognition method based on curve matching |
CN105678876A (en) * | 2016-01-07 | 2016-06-15 | 天津理工大学 | Intelligent access control system based on hand back superficial vein recognition |
CN106702664A (en) * | 2016-10-31 | 2017-05-24 | 无锡小天鹅股份有限公司 | Washing machine and human vein image recognition based control method and device |
CN106570375A (en) * | 2016-10-31 | 2017-04-19 | 无锡小天鹅股份有限公司 | Washing machine, control method and apparatus of same |
CN106400385A (en) * | 2016-10-31 | 2017-02-15 | 无锡小天鹅股份有限公司 | Washing machine and control method and device thereof |
CN108294728A (en) * | 2017-01-12 | 2018-07-20 | 财团法人工业技术研究院 | wound state analysis method and system |
CN108294728B (en) * | 2017-01-12 | 2021-12-07 | 财团法人工业技术研究院 | Wound state analysis system |
CN110580433A (en) * | 2018-06-11 | 2019-12-17 | 上海箩箕技术有限公司 | identity recognition device |
CN109063097A (en) * | 2018-07-27 | 2018-12-21 | 广州友谱网络科技有限公司 | Data comparison and common recognition method based on block chain |
CN109145789A (en) * | 2018-08-09 | 2019-01-04 | 炜呈智能电力科技(杭州)有限公司 | Power supply system safety work support method and system |
CN109784083A (en) * | 2019-02-22 | 2019-05-21 | 吉林大学 | The bionical encryption system merged based on grip information with hand back vein information |
CN110543852A (en) * | 2019-09-03 | 2019-12-06 | 弘益科技发展(天津)有限公司 | Non-contact type animal identity vein identification scanner and identification method |
CN110960213A (en) * | 2019-12-10 | 2020-04-07 | 天津理工大学 | Pelvic floor probe, pelvic floor all-in-one machine, and pelvic floor probe anti-counterfeiting system and method |
Also Published As
Publication number | Publication date |
---|---|
CN100453040C (en) | 2009-01-21 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN100453040C (en) | Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand and recognition method | |
CN101499134B (en) | Iris recognition method and system based on field programmable gate array | |
CN101493884B (en) | Multi-optical spectrum image collecting device and method | |
Cross et al. | Thermographic imaging of the subcutaneous vascular network of the back of the hand for biometric identification | |
CN101536384B (en) | Spatial-spectral fingerprint spoof detection | |
US20050238208A1 (en) | Handheld biometric computer for 2D/3D image capture | |
CN111462379A (en) | Access control management method, system and medium containing palm vein and face recognition | |
CN202257711U (en) | Automobile keyless access control system based on iris verification mode | |
CN104661583A (en) | Device and method for processing data derivable from remotely detected electromagnetic radiation | |
CN104239766A (en) | Video and audio based identity authentication method and system for nuclear power plants | |
CN109766836A (en) | A kind of finger hand vein recognition unlocking method and system | |
CN201207195Y (en) | Dual identity authentication apparatus of infrared human face recognition and finger print recognition | |
CN202771514U (en) | Face recognition access control attendance system | |
CN109255219A (en) | A kind of temperature sense unlocking method and system based on bio-identification terminal | |
CN201397512Y (en) | Embedded-type infrared human face image recognition device | |
CN107888552B (en) | A kind of identity identifying method and system based on electrocardiosignal | |
CN107818317A (en) | A kind of personnel system scheme identified using vena metacarpea | |
CN201159819Y (en) | Anti-interference imaging device with laser active illumination | |
CN103761512A (en) | Mobile fingerprint paying method and system | |
CN202205213U (en) | Portrait comparing system used for public security system | |
CN113255705B (en) | Intelligent identification device for protective color animal | |
CN109117762A (en) | In vivo detection system, method and apparatus | |
CN106709407A (en) | NEXT series product DSP and ARM dual-core identification system | |
CN1564191A (en) | Blood vessel identifying method and device | |
CN204314904U (en) | A kind of three-dimensional face gate identification system |
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 | ||
C17 | Cessation of patent right | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090121 Termination date: 20120123 |