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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
Source PublicationPattern Recognition

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.

KeywordBiometrics Dorsal Hand Vein Survey
URLView the original
Indexed BySCIE
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000691542900020
Scopus ID2-s2.0-85110070193
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Corresponding AuthorZhang, Bob
Affiliation1.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 AffilicationUniversity 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.
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.
MLA Jia, Wei,et al."A survey on dorsal hand vein biometrics".Pattern Recognition 120(2021).
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