A great quantity of information in the face image makes it improper to be used to direct recognition. Discrete cosine transformation is used to process raw face image, and dimension reduced feature vectors are obtained. Feedforward neural netwok is also used to classify and recognize face. Simulation experiments are conducted based on face images in ORL face database. The results show that the recognition rate is quite high and the train time is notably shortened, so the method is efficient for face recognition.