This paper proposes a fast approach for human face detection in color images under complex background.The approach first utilizes evolutionary agent computation to cluster the skin-like pixels and segment the possible face-like regions.After the face-like regions are located

wavelet decomposition is applied to each region to detect the possible facial features.Regions in which the wavelet features are distributed like a predefined human face model are recognized as human faces.Experimental results show that the proposed approach is fast and has a high detection rate.