Aimed at the phenomenon of degradation and the issue of low detection rate in training process of traditional AdaBoost algorithm

an effective method is presented.On the basis of the traditional AdaBoost algorithm

this method effectively restrains weights of hard samples not to expand largely and strengthens the capacity of classifier for recognition of samples by improving the parameters of sample weights and the weak classifier weighting value.The experimental results show that the face detector established by the new method has good performance.