Abstract: The face recognition technology has broad application prospects,but right now there are some failings in many implementations.Based on the analysis of OPENCV with the SVW classifier,this paper elaborated a strategy based on two-stage classifier of face detection principle and the implementation process.first,analysed two classifier construction,introduced a rectangular face image feature vector,used the image of the rectangular features as the basis for classification,and then discussed the system design and implementation,including the gray-scale transformation process,the process of histogram equalization,image smoothing serialization process as well as the relization of the pyramid.This test model can speed up the processing speed and has higher efficiency.

Key words: Human face detection,OPENCV,SVM classifier