Evaluation of the algorithms of face identification

The need to identify and discern identities gradually rises in social and economic interactions along with following the rules and other fields. Accordingly, biometric data as basic information of an individual´s physical and behavioral features play an important role. This article reviews the duties of face recognition, thence to make a comparison among the function of five face-recognition algorithm, called PCA, ICA, FLDA, Eigen features, and Eigen face, in which the basis for comparing these algorithms was the rate of face identification accuracy. The mentioned algorithms have been analyzed in the databases of ORL, AR, FERET, and YALE. This article shows that ICA Algorithm give better results than the other algorithms in the introduced databases.