Face recognition based on linear projection analysis and FCM dynamic clustering
基于线性投影分析和FCM动态聚类的人脸识别*

This paper proposed a face recognition classifier based on FCM dynamic clustering. First, as for linear projection, principle component analysis and linear discriminant analysis were expounder. Where PCA seeked directions that were efficient for representation, LDA seeked directions that were good at discriminating samples. Then, used FCM dynamic clustering calculate threshold to recognize face. Experiments on ORL face database used the combining algorithms above to extract features. The experimental result indicates that the recognition performance of classifier combination in decision level is superior to others, and is more robust.