Face recognition based on linear classifiers combination

被引：10

作者：

Jing, XY ^{[1
]}

Zhang, D ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Comp, Ctr Multimedia Signal Proc, Kowloon, Hong Kong, Peoples R China

来源：

NEUROCOMPUTING | 2003年 / 50卷

关键词：

face recognition; linear classifiers combination; maximum complementariness criterion; genetic algorithm; Fisherface feature;

D O I：

10.1016/S0925-2312(02)00674-4

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, an approach that uses a combination of linear classifiers is applied to face recognition. We propose a novel criterion for the combination, the maximum complementariness criterion, which is used to construct the fitness function for a genetic algorithm (GA). A GA is then used to generate the rational weights for the classifiers. Experiments show that our approach can successfully improve the performance of the classification for face recognition using the commonly used Fisherface features. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：485 / 488

页数：4

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