Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV

Sheng LI; Yong-fang YAO; Xiao-yuan JING; Heng CHANG; Shi-qiang GAO; David ZHANG; Jing-yu YANG

doi:10.1587/transinf.E92.D.2527

Regular Section

Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV

Sheng LI, Yong-fang YAO, Xiao-yuan JING, Heng CHANG, Shi-qiang GAO, David ZHANG, Jing-yu YANG

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Keywords: DCT frequency bands selection, the improved KDCV, nonlinear DCT feature extraction, face recognition

JOURNAL FREE ACCESS

2009 Volume E92.D Issue 12 Pages 2527-2530

DOI https://doi.org/10.1587/transinf.E92.D.2527

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Abstract

This letter proposes a nonlinear DCT discriminant feature extraction approach for face recognition. The proposed approach first selects appropriate DCT frequency bands according to their levels of nonlinear discrimination. Then, this approach extracts nonlinear discriminant features from the selected DCT bands by presenting a new kernel discriminant method, i.e. the improved kernel discriminative common vector (KDCV) method. Experiments on the public FERET database show that this new approach is more effective than several related methods.

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