Defocused Palmprint Recognition Using 2DPCA

被引：7

作者：

Sang, Hai-feng ^{[1
]}

Liu, Fang ^{[1
]}

机构：

[1] Shenyang Univ Technol, Comp Vis Grp, Shenyang, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL I, PROCEEDINGS | 2009年

关键词：

contactless acquisition; defocused palmprint; 2DPCA;

D O I：

10.1109/AICI.2009.106

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Hand-based identification have developed very recently. This paper proposes a recognizing method for defocused palmprint images using 2DPCA. In order to achieve the purpose of intercepting region of interest(ROI) of palmprint under contactlass mode, we used profile information of palm and root of fingers situations to locate characteristic points of contour. Next, the palmprint features were extracted by 2DPCA method. Finally, we used of nearest neighbor distance classifier for matching. The experiental result presents 97.71% correct recognition rate of defocused palmprint on a database of 50 subjects and shows efficiency of the method proposed in this paper.

引用

页码：611 / 615

页数：5

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