标题:Local Vein Texton Learning for Finger Vein Recognition
作者:Yang, Lu; Yang, Gongping; Yin, Yilong; Dong, Lumei
通讯作者:Yin, Yilong
作者机构:[Yang, Lu; Yang, Gongping; Yin, Yilong; Dong, Lumei] Shandong Univ, Sch Comp Sci & Technol, Jinan 250101, Peoples R China.
会议名称:9th Chinese Conference on Biometric Recognition (CCBR)
会议日期:NOV 07-09, 2014
来源:BIOMETRIC RECOGNITION (CCBR 2014)
出版年:2014
卷:8833
页码:271-280
关键词:Finger vein recognition; texton learning; linear projection
摘要:In finger vein recognition, the input image is generally labeled in accordance with the nearest enrolled neighbor. However, it is so rigid that it is inadequate for some cases. This paper explores a modified sparse representation method for finger vein recognition. In the method, each block in a finger vein image will be sparsely represented by dictionary textons, not simply labeled by the nearest enrolled block, and the representation coefficients of all blocks are arranged to be a two-dimensional histogram to model the image. As textons is learned from local vein pattern, not global vein pattern. Therefore, for encode global geometric information of finger vein pattern, the representation coefficient histogram is projected to different lines, and then connected in parallel to generate more powerful image features. Extensive experiments on the HKPU finger vein database show the effectiveness of the modified sparse representation method in finger vein recognition.
收录类别:CPCI-S;EI;SCOPUS
Scopus被引频次:1
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-s2.0-84911938615&partnerID=40&md5=0800fb600faab65d4ed46e1a68514bbf
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