Hand Gesture Segmentation Based on Skin Color Detection Technology

Sign language is a language used deaf and dumb persons.After more than two decades of input devices development,many people still find the interaction with deaf and dumb persons a certain difficulty.So efforts should be made to adapt computers to natural means of communication.The aim of this paper is to obtain the meaningful hand region from the whole image by using skin color detection process, and deal with hand gestures against different indoor backgrounds and lighting condition,and prepare for sign language recognition.Evaluates a few static hand gestures and discusses the result.