With the social progress and technological development so that people need a reliable、simple、quick identification technology.In recent years, face recognition because of its recognition process of non contact detection method, fast and stable has attracted widespread concern.In this paper, based on MATLAB, the design and implementation of a face recognition system based on principal component analysis.In this paper, the main work is as follows:First of all, the article introduces the meaning and purpose of research on face recognition technology.On how to obtain the facial information, and the automatic face detection is discussed.General also face image database are presented in detail.Secondly, the face image size, angle, sharpness, have very great influence on face recognition, so we often first preprocessing the image.This paper provides very rich Pretreatment method that mainly based on image gray processing and image size change. Finally, focus on the PCA face recognition algorithm in this paper. Details of the derivation of the Hotelling transform,Singular value decomposition theorem and principle, several methods of measuring image distance. And introduces the principal component analysis for face recognition algorithms in the MATLAB programming ideas. And the simulation results of the algorithm was analyzed. |