A novel approach for human face detection from color images under complex background

摘要

This paper proposes a novel fast approach to the detection, segmentation and localization of human faces in color images under complex background. First, a number of evolutionary agents are uniformly distributed in the 2-D image environment to detect the skin-like pixels and segment each face-like region by activating their evolutionary behaviors. Then wavelet decomposition is applied to each region to detect the possible facial features and a three-layer BP neural network is used to detect the eyes among the features. Experimental results show that the proposed approach is fast and has a high detection rate.