计算机工程与应用2012，Vol.48Issue(17)：199-202,237,5.DOI:10.3778/j.issn.1002-8331.2012.17.039
基于加权小波的DCT人脸识别算法研究
DCT face recognition algorithm based on weighted wavelet
摘要
Abstract
In order to solve the problem of high dimensional image with complicated calculation, the paper proposes a method combined with weighted wavelet analysis and DCT for face recognition. The method decomposes face image by wavelet, extracts the DCT transform coefficients of low-frequency and weighted high-frequency as feature vectors. It uses the weighted distance for classification. Compared with the traditional PCA algorithm as well as wavelet combining PCA algorithm, the experimental results on ORL and YALE face databases show that the proposed algorithm can improve the training time and the recognition rate.关键词
人脸识别/加权小波分析/离散余弦变换(DCT)/加权距离Key words
face recognition/ weighted wavelet analysis/ Discrete Cosine Transform(DCT)/ weighted distance分类
信息技术与安全科学引用本文复制引用
余嘉,方杰,许可..基于加权小波的DCT人脸识别算法研究[J].计算机工程与应用,2012,48(17):199-202,237,5.基金项目
中央高校基本科研业务费资助项目(No.CDJZR10160011) （No.CDJZR10160011）
重庆市自然科学基金资助(No.2010BB2049). （No.2010BB2049）
