Face Recognition System based on Wavelet, PCA-LDA and SVM

Abstract

Face recognition has become one of the important research areas that is used in wide range of applications such as security systems, Information security and personal identification etc. In this paper, we deal with a face recognition system using wavelet transformation to preprocessing of face image and combination of Linear Discriminate Analysis and Principle Components Analysis, algorithm to extract features. Finally, support vector machine algorithm is used for classification. An experiment on Olivetti-Oracle Research Laboratory face is implemented to test performance of the proposed method. The results of this experiment showed the reliability and effectiveness of the proposed method.

Keywords: Face recognition, Principal Component Analyses, Linear Discriminate Analysis, Support Vector Machine.