Hand Gesture Recognition by Thinning Method

Sign language is the most natural and expressive way for the hearing impaired. Its most appealing application is the development of more effective and friendly interfaces for human-machine interaction. Gestures are a natural and powerful way of communication. A hand gesture recognition system can provide an opportunity for a mute person to communicate with normal people without the need of an interpreter. In this paper we proposed a novel technology for hand gesture recognition which is based on thinning of segmented image.