Palmprint recognition using Generalized Discriminant Analysis

被引：3

作者：

Yu, Pengfei ^{[1
]}

Xu, Dan ^{[1
]}

机构：

[1] Yunnan Univ, Sch Informat, Kunming 650091, Peoples R China

来源：

2008 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING, VOLS 1 AND 2, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ICALIP.2008.4590190

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel palmprint recognition approach based on Generalized Discriminant Analysis (GDA). The method uses GDA to extract palmprint features for palmprint recognition.. GDA project palmprint images from a high-dimensional input space to a lower dimensional feature space, in which the palmprints from the different palms can be discriminated much more efficiently. The experiment results show that low equal error rate 0.36% has been obtained by the proposed method.

引用

页码：1517 / 1521

页数：5

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