- Discrimination Method Based On The Overall Characteristics Of The Face Card

Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries, and human-computer intelligent interactions,so it is one of the most active research field on Al and pattern recognition.Over the last twenty years different method have been proposed,but there is not a system in application which is robust and high in recognition rate.The difference of these methods is analysized in the paper and a test environment for face recognition is put up.The paper focuses on two basic methods , one is based on PCA algorithms and the other is based on Fisher discriminants These two subspace face recognition algorithms are combined into one in the paper, moreover,the number of eigenvectors used to create the eigenspace and the behavior of similarity measures are discussed and one method called stretching dimension is given to select eigenvectors.experiments are presented comparing recognition rates for different algorithms and different similarity measures. In addition, A method of face location based on affine template matching is presented,and experimental results show the method has goodperformance.