Abstract
Technology is now employed to solve practically all humanity's problems. The vast communication gap between the common people and the deaf community is one of the society's fundamental challenges. Computer-based Sign Language Recognition (SLR) systems that translate gestures into text/speech are now being developed by researchers all over the world. This paper attempts to summarize the current state-of-the-art methodologies used by various researchers in the field of SLR systems, right from collecting the data, image processing and using it to translate the gestures. Moreover, the steps followed to develop a SLR system are discussed, and some of the existing SLR applications are reviewed.
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