标题:Finger vein recognition based on deformation information
作者:Meng, Xianjing; Xi, Xiaoming; Yang, Gongping; Yin, Yilong
作者机构:[Meng, Xianjing; Xi, Xiaoming] Shandong Univ Finance & Econ, Sch Comp Sci & Technol, Jinan 250014, Shandong, Peoples R China.; [Yang, Gongping; Yin, 更多
通讯作者:Yin, Yilong
通讯作者地址:[Yin, YL]Shandong Univ, Sch Comp Sci & Technol, Jinan 250101, Shandong, Peoples R China.
来源:SCIENCE CHINA-INFORMATION SCIENCES
出版年:2018
卷:61
期:5
DOI:10.1007/s11432-016-9037-0
关键词:finger vein recognition; deformations; optimized matching; displacement;; texture of uniformity
摘要:The measurement of the vessel pattern in fingers is a superior method for identifying individuals owing to its convenience and the security it offers. We introduce in this paper a new perspective to accomplish finger vein recognition. This method, which regards deformations as discriminative information, is distinct from existing methods that attempt to prevent the influence of deformations. The proposed technique is based on the observation that regular deformation, which corresponds to a posture change, can only exist in genuine vein patterns. In terms of methodology, we incorporate optimized matching to generate pixel-based 2D displacements that correspond to deformations. The texture of uniformity extracted from the displacement fields is taken as the final matching score. Evaluated on two publicly available databases, PolyU and SDU-MLA, extensive experiments demonstrated that the discriminability of the new feature derived from deformations is preferable. The equal error rate (EER) achieved is the lowest compared to that of state-of-the-art techniques.
收录类别:EI;SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028546751&doi=10.1007%2fs11432-016-9037-0&partnerID=40&md5=8f3136d5ad4749d828e7d5a0a875c045
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