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    Human Skin Detection by Designing a Fuzzy System in Color Space

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    ABSTRACT one of the issues which are dealt with as an important issue in identification of a human in images is skin detection. Human skin detection with suitable speed and high accuracy is very necessary and very valuable in promoting quality of detection and can give suitable features for more correct detection. In this paper, a new fuzzy method is studied to identify human skin based on YCBCR colorful model. Skin color in YCBCR space forms a continuous set. Considering histogram of continuous set in color space, suitable membership functions are considered for fuzzy system. Based on inputs of fuzzy system, decision is made about each pixel. Tests have been performed on fei database and the obtained results show accuracy of 97% on test images
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