基于对角PCA的人脸识别方法

A Face Recognition Method Based on Diagonal-PCA

针对主成分分析(PCA)算法中存在没有提取人脸对角方向特征的问题,提出了先对人脸图像进行对角化的表示,然后利用PCA提取图像特征,最近邻法分类的人脸识别改进方法。基于ORL数据库的相关实验表明,这样的系统能够取得比传统PCA更好的识别性能。

To solve the problems existing which can not extract diagonal character in Principal Component Analysis （PCA）, this paper present an image recognition method makes use of diagonal- PCA to extract the feature information of images and the NN（ Nearest Neighbor） is selected to recognize the character. The experiment based on ORL-Database show that this method can get better performance than traditional PCA methods.