In this paper,feature extraction and recognition of facial images is studied in order to resolve the highdimension problem,small size samples problem and non-linear separable problem that exist in face recognition technology.The proposed feature extract method based on Principal Component Analysis(PCA) and Fisher s Linear Discriminate(FLD) can solve the small size samples problem and the high-dimension problem by mapping the samples from a high-dimension space to a low-dimension Eigen space.In the recogniti...