Aimed at the questions in face recognition by using single classifier, such as the time consuming of single classifier detection, and the significant of face image extracting after detection etc, this paper proposes a method based on Adaboost algorithm to handle it. The classifiers based on the facade and the eyes. First, we screen out the most probably facial area by the Cascade algorithm, then, we detect the facial area with the classifiers, finally，we will perform the precise positioning to the face image with the help of detected distance of eyes and angles, and as the facial pose side effect to the face recognition rate. We correct this problem according to the eyes positions. As the results of experiments indicate the proposed algorithm could detect the face image accurately from the whole image without sacrificing the algorithm running time, and it has practical definitely.