| Low-cost biometric recognition system based on NIR palm vein image | |
| Wu, Wei1,2; Elliott, Stephen John3; Lin, Sen2; Yuan, Weiqi4 | |
| Corresponding Author | Wu, Wei(wuwei@sia.cn) |
| 2019-05-01 | |
| Source Publication | IET BIOMETRICS
 |
| ISSN | 2047-4938 |
| Volume | 8Issue:3Pages:206-214 |
| Abstract | 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. |
| Keyword | 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 |
| Funding Organization | Liaoning province Natural Science Foundation |
| DOI | 10.1049/iet-bmt.2018.5027 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | Liaoning province Natural Science Foundation[2015020057] ; Liaoning province Natural Science Foundation[2015020100] |
| WOS Research Area | Computer Science |
| WOS Subject | Computer Science, Artificial Intelligence |
| WOS ID | WOS:000465149800005 |
| Publisher | INST ENGINEERING TECHNOLOGY-IET |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/133028 |
| Collection | 中国科学院金属研究所 |
| Corresponding Author | Wu, Wei |
| Affiliation | 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 |
| Recommended Citation 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. |
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