Residential College | false |
Status | 已發表Published |
A survey on dorsal hand vein biometrics | |
Jia, Wei1,2,3; Xia, Wei2; Zhang, Bob4; Zhao, Yang1; Fei, Lunke5; Kang, Wenxiong6; Huang, Di7; Guo, Guodong8 | |
2021-12-01 | |
Source Publication | Pattern Recognition |
ISSN | 0031-3203 |
Volume | 120Pages:108122 |
Abstract | Biometrics technology is one of the most important and effective solutions for personal authentication. In recent years, as one of the emerging biometrics technologies, dorsal hand vein (DHV) biometrics has received a lot of attention. In fact, DHV biometrics has been studied for more than 30 years, during which different problems related to DHV recognition have been addressed. In this paper, we conduct a comprehensive survey on the state-of-the-art in DHV biometrics. Nearly all important aspects of DHV biometrics have been summarized, including the developmental history, data acquisition, databases, preprocessing algorithms, feature extraction and matching algorithms, information fusion schemes and commercial products. We also discuss the challenges and future directions in DHV biometrics research. |
Keyword | Biometrics Dorsal Hand Vein Survey |
DOI | 10.1016/j.patcog.2021.108122 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering |
WOS Subject | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS ID | WOS:000691542900020 |
Publisher | ELSEVIER SCI LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND |
Scopus ID | 2-s2.0-85110070193 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Zhang, Bob |
Affiliation | 1.Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, 230009, China 2.School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, 230009, China 3.Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, 230009, China 4.PAMI Research Group, Dept. of Computer and Information Science, University of Macau, Macau, 999078, China 5.School of Computers, Guangdong University of Technology, Guangzhou, 510006, China 6.School of Automation Science and Engineering, South China University of Technology, Guangzhou, 510006, China 7.School of Computer Science and Engineering, Beihang University, 100083, China 8.Department of Computer Science and Electrical Engineering, West Virginia University, West Virginia, 26506, United States |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Jia, Wei,Xia, Wei,Zhang, Bob,et al. A survey on dorsal hand vein biometrics[J]. Pattern Recognition, 2021, 120, 108122. |
APA | Jia, Wei., Xia, Wei., Zhang, Bob., Zhao, Yang., Fei, Lunke., Kang, Wenxiong., Huang, Di., & Guo, Guodong (2021). A survey on dorsal hand vein biometrics. Pattern Recognition, 120, 108122. |
MLA | Jia, Wei,et al."A survey on dorsal hand vein biometrics".Pattern Recognition 120(2021):108122. |
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