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Low-cost biometric recognition system based on NIR palm vein image
Wu W(吴微)1,2; Elliott, Stephen John3; Lin S(林森)2; Yuan, Weiqi4
Department机器人学研究室
Source PublicationIET BIOMETRICS
ISSN2047-4938
2019
Volume8Issue:3Pages:206-214
Indexed BySCI ; EI
EI Accession number20191806845819
WOS IDWOS:000465149800005
Contribution Rank1
Funding OrganizationLiaoning province Natural Science Foundation
Keywordfeature extraction biometrics (access control) vein recognition image recognition low-cost biometric recognition system NIR palm vein image high security liveness detection palm vein capture devices practical palm vein recognition system authors (NIR) palm vein image complementary metal-oxide-semiconductor camera NIR charge-coupled device camera discriminate palm vein features recognition accuracy 1500 palm vein images capture device
AbstractPalm vein recognition is motivated by the advantages of high security and liveness detection, but its popularity is prevented by the cost of palm vein capture devices. This study proposes a low-cost and practical palm vein recognition system. First, the authors' system captures near-infrared (NIR) palm vein image with complementary metal-oxide-semiconductor camera in lieu of an NIR charge-coupled device camera. The goal is to reduce the cost of palm vein capture devices greatly. Second, this study adopts thenar area on the palm as the region of interest (ROI) for further palm vein recognition. The goal is to get the rich vessel and avoid the effect of palmprint. Finally, the discriminate palm vein features are extracted based on Haarwavelet decomposition and partial least squares algorithm on the ROI image. The goal is to increase the recognition accuracy, though the resolution of the image is low. A database with 1500 palm vein images from 250 samples is setup with the capture device. Experiments in the self-built database and a public database show the effectiveness of the scheme.
Language英语
WOS SubjectComputer Science, Artificial Intelligence
WOS KeywordFEATURE-EXTRACTION
WOS Research AreaComputer Science
Funding ProjectLiaoning province Natural Science Foundation[2015020057] ; Liaoning province Natural Science Foundation[2015020100]
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/24677
Collection机器人学研究室
Corresponding AuthorWu W(吴微)
Affiliation1.Information Engineering Department, Shenyang University, Shenyang, Liaoning, People's Republic of China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, People's Republic of China
3.Polytechnic Institute Department, Purdue University, West Lafayette, IN 47906, USA
4.Computer Vision Group, Shenyang University of Technology, Shenyang, Liaoning People's Republic of China
Recommended Citation
GB/T 7714
Wu W,Elliott, Stephen John,Lin S,et al. Low-cost biometric recognition system based on NIR palm vein image[J]. IET BIOMETRICS,2019,8(3):206-214.
APA Wu W,Elliott, Stephen John,Lin S,&Yuan, Weiqi.(2019).Low-cost biometric recognition system based on NIR palm vein image.IET BIOMETRICS,8(3),206-214.
MLA Wu W,et al."Low-cost biometric recognition system based on NIR palm vein image".IET BIOMETRICS 8.3(2019):206-214.
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