Skin detection using fuzzy rule base system

Skin detection is the process of finding skin pixels in a given color image. In this paper, we propose a novel fuzzy rule based system for robust and fast skin detection in color images. The proposed fuzzy system models the skin color distribution in HSV color space. Using the fuzzy model, skin likelihood of the pixel is calculated and if it exceeds a threshold then this pixels is considered as skin pixel. Also we proposed a multi layer perceptron neural network for skin classifier and compare its performance with the proposed fuzzy rule based method. Experimental results show effectiveness of the proposed fuzzy rule based method in comparison with the neural network based and other previous approaches.