New face recognition method based on DWT/DCT combined feature selection

被引：0
|
作者：
Yu, Ming [1 ]
Yan, Gang [1 ]
Zhu, Qing-Wen [1 ]
机构：
[1] Hebei Univ Technol, Sch Comp Sci, Tianjin 300130, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
关键词：
face recognition; discrete wavelet transform; discrete cosine transform; support vector machine; feature extraction; binary tree;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new face recognition method is proposed based on DWT/DCT combined feature selection. The combination of the DWT and the DCT is used to extract features of face images. This reduces the dimension of the original face image and preserves the property of data distribution in the feature subspace. Then the support vector machine (SVM) based on the structural risk minimization principle is used to classify these feature vectors. The new strategy is tested on ORL face databases and the results demonstrate that it performs very well compared with other approaches.
引用
收藏
页码：3233 / +
页数：2
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