核最近特征分类器及人脸识别应用

Journal of Applied Sciences ›› 2006, Vol. 24 ›› Issue (3): 227-231.

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Kernel Nearest Features Classifier for Face Recognition

HE Yun-hui, ZHAO Li, ZOU Cai-rong

Department of Radio Engineering, Southeast University, Nanjing 210096, China

Received:2005-02-28 Revised:2005-05-25 Online:2006-05-31 Published:2006-05-31

Abstract

Abstract: Kernel-based nearest feature classifiers are proposed in this paper, which can directly classify original face images and need not extract features beforehand.Besides, two KNFS methods are proposed, one is generalization of KNFP and the other employs KPCA to construct nonlinear feature subspace.Experimental results on ORL and YALE database demonstrate the feasibility of the proposed methods.

Key words: face recognition, nearest feature classifier, kernel PCA, kernel method

CLC Number:

TP391.4

HE Yun-hui, ZHAO Li, ZOU Cai-rong. Kernel Nearest Features Classifier for Face Recognition[J]. Journal of Applied Sciences, 2006, 24(3): 227-231.

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Kernel Nearest Features Classifier for Face Recognition

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