Aiming at resolving the problems of face detection algorithm under complicated background such as low detection rate and high false-alarm-rate etc

an effective method of face detection in color images based on improved AdaBoost algorithm and skin color is presented.By improving parameters of sample weights and weak classifier weighting value

the traditional AdaBoost algorithm has been improved.It effectively restrains the excessive increase of weights of hard samples

strengthens the capacity of classifier for recognition of samples and the system detection rate is increased.The detection result is screened with YCbCr space skin color model to filter error-detected "non-face" area.The experimental results indicate that this method assures the face detection speed and precision of improved AdaBoost algorithm under complicated background

decreases the false-alarm-rate and has strong robustness.