PCA applied to neural internal representation of input data - application to face recognition

Abstract

An original method of feature extraction from image data is introduced using MLP (multilayer perceptron) and PCA (principal component analysis). This method is used in a human face recognition system and results are compared to a face recognition system using PCA directly and to a system with direct classification of input images by MLP.