Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition

被引：224

作者：

Hu, Dewen ^{[1
]}

Feng, Guiyu ^{[1
]}

Zhou, Zongtan ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Mechatron & Automat, Dept Automat Control, Changsha 410073, Hunan, Peoples R China

来源：

PATTERN RECOGNITION | 2007年 / 40卷 / 01期

基金：

高等学校博士学科点专项科研基金;

关键词：

locality preserving projections (LPP); principal component analysis (PCA); linear discriminant analysis (LDA); palmprint recognition;

D O I：

10.1016/j.patcog.2006.06.022

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 proposes a novel algorithm for image feature extraction, namely, the two-dimensional locality preserving projections (2DLPP), which directly extracts the proper features from image matrices based on locality preserving criterion. Experimental results on the PolyU palmprint database show the effectiveness of the proposed algorithm. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：339 / 342

页数：4

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