标题:A Palmprint Recognition Based on Collaborative Representation
作者:Guo Xiu-mei; Wan Lin-mei; Wang Cheng-yi
作者机构:[Guo Xiu-mei; Wang Cheng-yi] Shandong Agr Univ, Sch Informat Sci & Engn, Tai An, Shandong, Peoples R China.; [Guo Xiu-mei] Shandong Univ, Sch Inform 更多
会议名称:2nd International Conference on Frontiers of Mechanical Engineering and Materials Engineering (MEME 2013)
会议日期:OCT 12-13, 2013
来源:FRONTIERS OF MECHANICAL ENGINEERING AND MATERIALS ENGINEERING II, PTS 1 AND 2
出版年:2014
卷:457-458
页码:1317-1322
DOI:10.4028/www.scientific.net/AMM.457-458.1317
关键词:palmprint recognition; collaborative representation; sparse; representation; regularized least square
摘要:As a recently proposed technique, sparse representation (SR) has been widely used for pattern recognition. Sparse representation emphasizes the coefficient sparsity and ignores the importance of the collaboration between classes. In this paper, collaborative representation is introduced for palmprint recognition, and the inter-class collaboration is employed to estimate the representation coefficient with regularized least square method. The algorithm based on collaborative representation was evaluated on the Hong Kong PolyU (v2) palmprint database and ideal recognition performance was achieved.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次:2
Scopus被引频次:2
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887535647&doi=10.4028%2fwww.scientific.net%2fAMM.457-458.1317&partnerID=40&md5=c8dfad8142f2ef628d6b8ea7cde14642
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