Abstract
American Sign Language (ASL) is a well developed and standard way of communication for hearing impaired people living in English speaking communities. Since the advent of modern technology, different intelligent computer-aided application have been developed that can recognize hand gesture and hence translates gestures into understandable forms. In this proposed system, ASL based hand gesture system is presented that uses evolutionary programming technique called SIFT algorithm. Hand gestures images representing different English alphabets are used as an input to the system and then it is tested for a different set of images. The sign recognition accuracy obtained will be up to the mark. Keywords: ASL character, Hand gestures, SIFT Algorithm, Template matching, Key points.
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