A new method is presented in this paper for synthesis of an expressionless face image from a face image containing an arbitrary known expression. The proposed method enhances the performance of the existing principal components analysis which can be trained using a limited set of expressionless face images. This performance enhancement is achieved through the extraction of the basis set of the example face images in a global-local-based fashion.