一种基于核主成分分析的人脸识别方法

A Face Recognition Method Based On Kernel-PCA

针对主成分分析(PCA)算法中存在不能提取非线性特征的问题,提出了利用KPCA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 that Principal Component Analysis （PCA） can not extract nonlinear character, this paper presents an image recognition method. This method makes use of Kernel-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 showed that this method could get better performance than traditional PCA methods.