期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2014
卷号：8
期号：5
页码：253-264
DOI：10.14257/ijsia.2014.8.5.23
出版社：SERSC
摘要：As for illumination variation, traditional feature extraction methods are not satisfactory for face recognition. A block discriminant analysis algorithm is proposed to solve the problem. Firstly, local contrast enhancement is used to compensate for uneven illumination; secondly, discrete cosine transform (DCT) is implemented for divided image blocks. According to data distribution of DCT matrix, the block candidate features are selected, and merged to candidate features; finally, block discriminant analysis are carried out for features extraction. Experiments are tested on Yale and Yale B, the results prove the algorithm outperform related algorithms.
