Low-cost biometric recognition system based on NIR palm vein image

doi:10.1049/iet-bmt.2018.5027

IMR OpenIR

	Low-cost biometric recognition system based on NIR palm vein image
	Wu, Wei 1,2; Elliott, Stephen John 3; Lin, Sen 2; Yuan, Weiqi 4
通讯作者	Wu, Wei(wuwei@sia.cn)
	2019-05-01
发表期刊	IET BIOMETRICS
ISSN	2047-4938
卷号	8 期号:3 页码:206-214
摘要	Palm 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 Haar-wavelet 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.
关键词	feature 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
资助者	Liaoning province Natural Science Foundation
DOI	10.1049/iet-bmt.2018.5027
收录类别	SCI
语种	英语
资助项目	Liaoning province Natural Science Foundation[2015020057] ; Liaoning province Natural Science Foundation[2015020100]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000465149800005
出版者	INST ENGINEERING TECHNOLOGY-IET
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/133028
专题	中国科学院金属研究所
通讯作者	Wu, Wei
作者单位	1.Shenyang Univ, Informat Engn Dept, Shenyang, Liaoning, Peoples R China 2.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang, Liaoning, Peoples R China 3.Purdue Univ, Polytech Inst Dept, W Lafayette, IN 47906 USA 4.Shenyang Univ Technol, Comp Vis Grp, Shenyang, Liaoning, Peoples R China
推荐引用方式 GB/T 7714	Wu, Wei,Elliott, Stephen John,Lin, Sen,et al. Low-cost biometric recognition system based on NIR palm vein image[J]. IET BIOMETRICS,2019,8(3):206-214.
APA	Wu, Wei,Elliott, Stephen John,Lin, Sen,&Yuan, Weiqi.(2019).Low-cost biometric recognition system based on NIR palm vein image.IET BIOMETRICS,8(3),206-214.
MLA	Wu, Wei,et al."Low-cost biometric recognition system based on NIR palm vein image".IET BIOMETRICS 8.3(2019):206-214.