Palmprint recognition using Fisher's linear discriminant

被引：8

作者：

Wu, XQ ^{[1
]}

Wang, KQ ^{[1
]}

Zhang, D ^{[1
]}

机构：

[1] Harbin Inst Technol, Biometr Res Ctr, Dept Comp Sci & Engn, Harbin 150006, Peoples R China

来源：

2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年

关键词：

biometrics; palmprint recognition; linear projection; Fisher's linear discriminant;

D O I：

10.1109/ICMLC.2003.1260121

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a novel method for palmprint recognition is proposed. In this method, each pixel of a palmprint image is considered as a coordinate in a high-dimensional image space. A linear projection based on Fisher's linear discriminant (FLD) is used to project pamprints from. this high-dimensional space to a significantly lower dimensional feature space, in which the ratio of the determinant of the between class scatter to that of the within-class scatter is maximized. High accuracies of 99% and 99.2% have been obtained in one-to-one' matching and one-to-300 matching test respectively and the speed of this method is rapid enough for real-time pamprint recognition.

引用

页码：3150 / 3154

页数：5

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