07-09-2014, 08:36 PM
Face Recognition is a technique widely used nowadays. There are different applications of face recognition system. There are different algorithms used for the face recognition system and they are: PCA (Principal Component Analysis) LDA (Linear Discriminate Analysis),ICA (Independent Component Analysis) are the basic algorithms other methods like contour matching, hidden Markov models,etc are used as the Hybrid techniques of the face recognition system .More of the Applications of the Face Recognition System are on the security side . There is a new system Proposed in this paper that has the combination of PCA and Contour Matching techniques that may improve the working of the Face Recognition System and also may help in improving the precision of the results generated by the face recognition system. Keywords: PCA(Principal Component Analysis) ,LDA(Linear Discriminate Analysis),ICA(Independent Component Analysis) , Eigen Faces , Eigen Vectors ,Gaussian Blurring ,Hidden Markov Model,Fisher Faces, Contour generation, Contour matching.