文章基本信息

标题：Research on The Advanced Block Neighborhood Relevance Algorithm in Face Recognition
本地全文：下载
作者：Yanling Wang ; Guanglun Li
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：7
页码：193-202
DOI：10.14257/ijsip.2016.9.7.16
出版社：SERSC
摘要：Concerning the face image recognition, this paper comes up with a block neighborhood relevance algorithm. Firstly, it elaborates the computational method for face image block neighborhood relevance so as to find out the smooth region and then extract features and carry out dimension reduction. Finally, the maximum margin criterion is introduced in face image improve the classification performance. Simulation experiment proves that the algorithm adopted in this paper can effectively improve the face image recognition effect.
关键词：Image Processing; Block Neighborhood Relevance; Maximum Margin ; Criterion