Yapeng Ye, Liao Ni, He Zheng, Shilei Liu, Yi Zhu, Deng Zhang, Weilai Xiang, Wenxin Li
{"title":"FVRC2016: The 2nd Finger Vein Recognition Competition","authors":"Yapeng Ye, Liao Ni, He Zheng, Shilei Liu, Yi Zhu, Deng Zhang, Weilai Xiang, Wenxin Li","doi":"10.1109/ICB.2016.7550051","DOIUrl":null,"url":null,"abstract":"Finger vein recognition is a newly developed and promising biometrics technology. In current researches, finger vein recognition algorithms are mostly evaluated on data collected in laboratory environment. Along with its development, this technology gradually transforms from laboratory to actual use. Finger vein images captured in operational systems are different from those obtained in the lab, due to its uncontrollable acquisition condition and users' behavior. The 2nd Finger Vein Recognition Competition (FVRC2016) was organized for the purpose of assessing and comparing finger vein recognition algorithms on such data. 3 new data sets collected in real application were prepared for evaluating and improving algorithms. 6 submitted algorithms were extensively tested on the data sets. Testing protocols and detailed analysis of the results are also presented in this paper.","PeriodicalId":308715,"journal":{"name":"2016 International Conference on Biometrics (ICB)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Biometrics (ICB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICB.2016.7550051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Finger vein recognition is a newly developed and promising biometrics technology. In current researches, finger vein recognition algorithms are mostly evaluated on data collected in laboratory environment. Along with its development, this technology gradually transforms from laboratory to actual use. Finger vein images captured in operational systems are different from those obtained in the lab, due to its uncontrollable acquisition condition and users' behavior. The 2nd Finger Vein Recognition Competition (FVRC2016) was organized for the purpose of assessing and comparing finger vein recognition algorithms on such data. 3 new data sets collected in real application were prepared for evaluating and improving algorithms. 6 submitted algorithms were extensively tested on the data sets. Testing protocols and detailed analysis of the results are also presented in this paper.