Human Face Detection Based on SOFM Neural Network

This paper presented a new method of human face detection using Kohonen self-organized feature map (SOFM) neural network (NN). Presently, the human face detection based on the skin color is one of the main methods, but the most of color images include a lot of the skin-like information. Therefore, it is a difficult problem how to effectively extract the skin regions from the skin-like regions. The paper presented the detection method based on SOFM neural network to solve the problem. After nonlinear color clustering, skin regions can be roughly segmented from the skin-like regions and then human face regions can be accurately located by the morphology and the human face features. The experimental results show that the method can accurately detect human face in static color images and has stronger robustness to various skin colors