Abstract
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.
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