CN103136522A - Finger vein identification technical scheme - Google Patents
Finger vein identification technical scheme Download PDFInfo
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- CN103136522A CN103136522A CN2011103833460A CN201110383346A CN103136522A CN 103136522 A CN103136522 A CN 103136522A CN 2011103833460 A CN2011103833460 A CN 2011103833460A CN 201110383346 A CN201110383346 A CN 201110383346A CN 103136522 A CN103136522 A CN 103136522A
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Abstract
The invention relates to a finger vein identification technical scheme, and belongs to the field of biological identification. The technical scheme comprises the following steps of: 1, acquiring a finger vein original image by using a short infrared device; 2, preprocessing, namely performing gray-scale processing on the acquired vein image to remove useless information, so that the processing capacity of data is reduced; and 3, performing a digital signature algorithm (DSA) on the preprocessed vein image for encryption, storing the vein image in a database to serve as the processing standard required when the vein image is authenticated each time, preprocessing the vein image needed to be authenticated during each-time authentication, decrypting the preprocessed vein image and a vein image in the database, matching, if the vein images are successfully matched, indicating that a user is authorized, and if the vein images are unsuccessfully matched, indicating that the user is illegal. By the scheme, a wavelet moment fused principal component analysis (PCA) and linear discriminant analysis (LDA) algorithm is used for matching, so that stable matching authentication can be provided, identification speed is improved, and the actual application requirement is met.
Description
Technical field:
The present invention relates to a kind of technical scheme that refers to vein identification, belong to field of biological recognition.
Technical background:
The present identification product of the surface characteristics such as fingerprint palmmprint most importantly in field of biological recognition, its shortcoming is that reliability is low, easily copies.And the present higher recognition technology of reliability---iris recognition technology, the one, owing to wanting the close identification in eye position, acceptance level is lower; The 2nd, its price is too high, can't promote on a large scale.And the state-of-the-art technology that this product uses---refer to the vein identification technology scheme, be third generation biological identification technology, have vivo identification, internal feature, contactless and safe class advantages of higher, can effectively address the above problem.
Summary of the invention:
The present invention proposes a kind of finger vein identification technology scheme, use the vein blood vessel near infrared imaging technology of human body, utilize the contactless biological identification technology scheme of the finger venous image that the deoxidation hemochrome in human finger gathers the absorption characteristic of infrared light.
1, obtain finger vein original image by short infrared facility, device is as Fig. 1, wherein, short infrared deriving means is mainly by Near Infrared CCD or CMOS infrared image pickup device and near-infrared LED infrared light supply composition, obtains the vein original image by shining the finger forward part; 2, pre-service: the gray processing that carries out vein image that obtains is processed, got rid of garbage, thereby reduced the treatment capacity of data.Adopt the image threshold method of iteration threshold to extract in order to remove the outer impact of finger contours and profile.Vein image has been carried out the processing of combined filter, the blood vessel feature that image is extracted is more accurate.And image contains a bit block noise, by calculating the area of connected domain, removes the noise region less than certain threshold values.Carry out normalized to obtaining vein image, extract the characteristic image of vein image, use the Ridgelet conversion of multiresolution to strengthen vein image after the rejecting burr, obtain the sample image of unified yardstick; 3, will be through depositing in database also as needing cleanup standard for each authentication after pretreated vein image process DSA cryptographic algorithm, during each authentication, the vein image of needs authentications is carried out after pre-service with mating after the deciphering of the vein image in database, if the match is successful, explanation is authorized user, otherwise is exactly the disabled user.4, this programme uses the matching algorithm that the algorithm of wavelet moment fusion PCA and LDA carries out, and the stable matching authentication can be provided, and has improved simultaneously recognition speed, has reached the requirement of practical application.5, native system has been owing to having used a large amount of floating-point operations, and needs a large amount of finger vein digital photo information of storage, requires main compute chip more than ARM Cortex-A8 or the dominant frequency more than inter 1Ghz, more than internal memory 1Gb.
Description of drawings:
Fig. 1 is structural representation of the present invention;
Fig. 2 is that finger vein of the present invention gathers schematic diagram;
Embodiment:
Refer to that vein identification technology can use at the prison on gate control system, because the prison requires very highly to gate inhibition's security performance, we can well be applied to above the gate inhibition in prison this technology, and intelligently management.Simultaneously, gate control system can also because being to copy and to forge, will have record clearly so everyone passes in and out each gate inhibition to the inlet/outlet record, can trace back to the people that opens the door of each time after opening the door, and facilitate the management in prison.Simultaneously, if strengthen the security performance in prison, can use in conjunction with card reader, must first swipe the card in each identifying, then just can identify, be no matter card make mistakes (not registration, or others' card) all can produce the None-identified success, can provide the most reliable security performance to the prison.
Claims (5)
1. obtain by short infrared facility and refer to the vein original image, device is as Fig. 1, wherein, short infrared deriving means is mainly to form by Near Infrared CCD or CMOS infrared image pickup device and near-infrared LED infrared light supply, divides and obtains the vein original image by shining finger front finger;
2. pre-service: the gray processing that carries out vein image that obtains is processed, got rid of garbage, thereby reduced the treatment capacity of data.Adopt the image threshold method of iteration threshold to extract in order to remove the outer impact of finger contours and profile.Vein image has been carried out the processing of combined filter, the blood vessel feature that image is extracted is more accurate.And image contains a bit block noise, by calculating the area of connected domain, removes the noise region less than certain threshold values.Carry out normalized to obtaining vein image, extract the characteristic image of vein image, use the Ridgelet conversion of multiresolution to strengthen vein image after the rejecting burr, obtain the sample image of unified yardstick;
3. will be through depositing in database also as needing cleanup standard for each authentication after pretreated vein image process DSA cryptographic algorithm, during each authentication, the vein image of needs authentications is carried out after pre-service with mating after the deciphering of the vein image in database, if the match is successful, explanation is authorized user, otherwise is exactly the disabled user.
4. this programme uses the matching algorithm that the algorithm of wavelet moment fusion PCA and LDA carries out, and the stable matching authentication can be provided, and has improved simultaneously recognition speed, has reached the requirement of practical application.
5. native system has been owing to having used a large amount of floating-point operations, and needs a large amount of finger vein digital photo information of storage, requires main compute chip at ARM
More than Cortex-A8The perhaps above dominant frequency of inter 1Ghz is more than internal memory 1Gb.
Priority Applications (1)
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| CN2011103833460A CN103136522A (en) | 2011-11-28 | 2011-11-28 | Finger vein identification technical scheme |
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| CN2011103833460A CN103136522A (en) | 2011-11-28 | 2011-11-28 | Finger vein identification technical scheme |
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| CN103136522A true CN103136522A (en) | 2013-06-05 |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310517A (en) * | 2013-06-25 | 2013-09-18 | 奇瑞汽车股份有限公司 | Door lock device |
| CN103870808A (en) * | 2014-02-27 | 2014-06-18 | 中国船舶重工集团公司第七一〇研究所 | Finger vein identification method |
| WO2015180460A1 (en) * | 2014-05-27 | 2015-12-03 | 常熟安智生物识别技术有限公司 | Palm vein smart recognition system |
| CN107092860A (en) * | 2017-03-15 | 2017-08-25 | 广西科技大学 | A kind of hand back vein identification method based on PCA and wavelet decomposition |
| CN107293004A (en) * | 2017-05-11 | 2017-10-24 | 合肥中科奔巴科技有限公司 | A kind of finger vena identification intelligent gate control system |
| CN108197535A (en) * | 2017-12-19 | 2018-06-22 | 北京智慧眼科技股份有限公司 | Refer to vein image quality evaluation method and device |
| CN109766836A (en) * | 2019-01-11 | 2019-05-17 | 防灾科技学院 | A kind of finger hand vein recognition unlocking method and system |
| CN109934102A (en) * | 2019-01-28 | 2019-06-25 | 浙江理工大学 | A kind of finger vein identification method based on image super-resolution |
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| CN101006923A (en) * | 2007-01-23 | 2007-08-01 | 天津理工大学 | Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand and recognition method |
| CN101093539A (en) * | 2007-07-27 | 2007-12-26 | 哈尔滨工程大学 | Matching identification method by extracting characters of vein from finger |
| WO2008054396A1 (en) * | 2006-11-03 | 2008-05-08 | Snowflake Technologies Corporation | Method and apparatus for extraction and matching of biometric detail |
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Patent Citations (5)
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| WO2008054396A1 (en) * | 2006-11-03 | 2008-05-08 | Snowflake Technologies Corporation | Method and apparatus for extraction and matching of biometric detail |
| CN101006923A (en) * | 2007-01-23 | 2007-08-01 | 天津理工大学 | Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand and recognition method |
| CN101093539A (en) * | 2007-07-27 | 2007-12-26 | 哈尔滨工程大学 | Matching identification method by extracting characters of vein from finger |
| CN201465139U (en) * | 2009-04-24 | 2010-05-12 | 北京飞天诚信科技有限公司 | Intelligent secret key protection device based on vein identification technology |
| CN101777117A (en) * | 2010-01-26 | 2010-07-14 | 哈尔滨工程大学 | Method for extracting finger vein feature for matching identification |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310517A (en) * | 2013-06-25 | 2013-09-18 | 奇瑞汽车股份有限公司 | Door lock device |
| CN103870808A (en) * | 2014-02-27 | 2014-06-18 | 中国船舶重工集团公司第七一〇研究所 | Finger vein identification method |
| CN103870808B (en) * | 2014-02-27 | 2017-01-18 | 中国船舶重工集团公司第七一〇研究所 | Finger vein identification method |
| WO2015180460A1 (en) * | 2014-05-27 | 2015-12-03 | 常熟安智生物识别技术有限公司 | Palm vein smart recognition system |
| CN107092860A (en) * | 2017-03-15 | 2017-08-25 | 广西科技大学 | A kind of hand back vein identification method based on PCA and wavelet decomposition |
| CN107293004A (en) * | 2017-05-11 | 2017-10-24 | 合肥中科奔巴科技有限公司 | A kind of finger vena identification intelligent gate control system |
| CN108197535A (en) * | 2017-12-19 | 2018-06-22 | 北京智慧眼科技股份有限公司 | Refer to vein image quality evaluation method and device |
| CN109766836A (en) * | 2019-01-11 | 2019-05-17 | 防灾科技学院 | A kind of finger hand vein recognition unlocking method and system |
| CN109934102A (en) * | 2019-01-28 | 2019-06-25 | 浙江理工大学 | A kind of finger vein identification method based on image super-resolution |
| CN109934102B (en) * | 2019-01-28 | 2020-11-27 | 浙江理工大学 | Finger vein identification method based on image super-resolution |
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Application publication date: 20130605 |