A Palmprint Recognition Based on Collaborative Representation

被引：2
|
作者：
Guo Xiu-mei [1 ,2 ]
Wan Lin-mei [3 ]
Wang Cheng-yi [1 ]
机构：
[1] Shandong Agr Univ, Sch Informat Sci & Engn, Tai An, Shandong, Peoples R China
[2] Shandong Univ, Sch Informat Sci & Engn, Jinan, Peoples R China
[3] High Tech Sch Taian, Tai An, Shandong, Peoples R China
来源：
FRONTIERS OF MECHANICAL ENGINEERING AND MATERIALS ENGINEERING II, PTS 1 AND 2 | 2014年 / 457-458卷
关键词：
palmprint recognition; collaborative representation; sparse representation; regularized least square; SPARSE REPRESENTATION; VERIFICATION;
D O I：
10.4028/www.scientific.net/AMM.457-458.1317
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：1317 / 1322
页数：6
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