N. Razmjooy - Department of Engineering, Ardabil branch, Islamic Azad University, Ardabil, Iran
J Noori Pour - Engineering Department of Majlesi Islamic Azad University, Isfahan, Iran
M. Khalilpour - Engineering Department of, University of Mohaghegh, Ardabil, Iran
H. Hosseini - Engineering Department of Urmia, Urmia, Iran

Detection of skin in image is an important component of systems for detecting, and recognizing faces and hands. Thiswork presents a study of three important methods of the color pixel classification approach to skin segmentation:Support Vector Machines, Multi Layer Perceptrons, and K-nearest neighborhood algorithm. Our analysis of twodifferent types of representative color spaces using these classifiers shows that skin segmentation based on SupportVector Machines and RGB color pixel classification makes a real-time and accurate system

Skin Detection, Neural Networks, Color space, Supervised Classification, Multi layer perceptron, K nearest neighborhood, Support Vector Machines, Correct Detection Rate, False Acceptance Rate, False Rejection Rate