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Review of palm vein recognition
Wu W(吴微)1,2; Elliott, Stephen John3; Lin S(林森)2; Sun, Shenshen1; Tang YD(唐延东)2
Source PublicationIET BIOMETRICS
Indexed BySCI ; EI
EI Accession number20200308048059
WOS IDWOS:000506594200001
Contribution Rank1
Funding OrganizationChina Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2019M651142] ; Liaoning province Natural Science FoundationNatural Science Foundation of Liaoning Province [2019-DZ-0554] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [61821005, 61703285]

As a new research focus in biometrics, palm vein recognition has attracted people's attention because of high security, liveness-detection, user acceptability and convenience. Palm vein recognition exhibits high security, as it uses the network of blood vessels underneath palm skin for recognition. As palm vein is interior biological information of the body, vein patterns are much harder for intruders to copy compared to other biometric features. Palm vein is mostly invisible to the human eyes; they are commonly captured under near-infrared light. Under its natural state, the veins of the palm are concealed naturally and, for most of time people's hands are in the gesture of half fist. This study presents a comprehensive overview of recent research progress of palm vein recognition, from the basic background knowledge to data acquisition, public database, preprocessing, feature extraction and matching. In addition, the study focuses on palm vein-related fusion. Ultimately, the authors discuss the challenges and future perspectives in palm vein recognition for further works.

WOS SubjectComputer Science, Artificial Intelligence
WOS Research AreaComputer Science
Funding ProjectChina Postdoctoral Science Foundation[2019M651142] ; Liaoning province Natural Science Foundation[2019-DZ-0554] ; National Natural Science Foundation of China[61821005] ; National Natural Science Foundation of China[61703285]
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorWu W(吴微)
Affiliation1.Information Engineering Department, Shenyang University, Shenyang, Liaoning, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China
3.Polytechnic Institute Department, Purdue University, West Lafayette, IN 47906, United States
Recommended Citation
GB/T 7714
Wu W,Elliott, Stephen John,Lin S,et al. Review of palm vein recognition[J]. IET BIOMETRICS,2020,9(1):1-10.
APA Wu W,Elliott, Stephen John,Lin S,Sun, Shenshen,&Tang YD.(2020).Review of palm vein recognition.IET BIOMETRICS,9(1),1-10.
MLA Wu W,et al."Review of palm vein recognition".IET BIOMETRICS 9.1(2020):1-10.
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