Low-cost biometric recognition system based on NIR palm vein image
文献类型：期刊论文
| 作者 | Lin S(林森)3; Yuan, Weiqi1; Elliott, Stephen John2; Wu W(吴微)3,4 |
| 刊名 | IET BIOMETRICS
 |
| 出版日期 | 2019 |
| 卷号 | 8期号:3页码:206-214 |
| 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 |
| ISSN号 | 2047-4938 |
| 产权排序 | 1 |
| 英文摘要 | 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 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. |
| WOS关键词 | FEATURE-EXTRACTION |
| 资助项目 | Liaoning province Natural Science Foundation[2015020057] ; Liaoning province Natural Science Foundation[2015020100] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000465149800005 |
| 资助机构 | Liaoning province Natural Science Foundation |
| 源URL | [http://ir.sia.cn/handle/173321/24677]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Wu W(吴微) |
| 作者单位 | 1.Computer Vision Group, Shenyang University of Technology, Shenyang, Liaoning People's Republic of China 2.Polytechnic Institute Department, Purdue University, West Lafayette, IN 47906, USA 3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, People's Republic of China 4.Information Engineering Department, Shenyang University, Shenyang, Liaoning, People's Republic of China |
| 推荐引用方式 GB/T 7714 | Lin S,Yuan, Weiqi,Elliott, Stephen John,et al. Low-cost biometric recognition system based on NIR palm vein image[J]. IET BIOMETRICS,2019,8(3):206-214. |
| APA | Lin S,Yuan, Weiqi,Elliott, Stephen John,&Wu W.(2019).Low-cost biometric recognition system based on NIR palm vein image.IET BIOMETRICS,8(3),206-214. |
| MLA | Lin S,et al."Low-cost biometric recognition system based on NIR palm vein image".IET BIOMETRICS 8.3(2019):206-214. |
入库方式： OAI收割
来源：沈阳自动化研究所
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