Abstract
Hand gesture is a natural mean of communication. The use of hand gesture as an efficient interface leads to alot of application in reality, which motivates more and more researches in modeling, analyzing and recognizing hand gestures. In the literature, there exists many works in this domain. Approaches range from using glove-based to vision-based. Each has some advantages and drawbacks. This paper gives a review on vision-based approaches for hand gesture recognition as well as it applications. This study helps to compare different techniques for hand representation and recognition in term of precision and computational time. By this way it allows identifying an appropriate method for a certain specific application using hand gesture.
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