Abstract

Sign Language Recognition is a growing field in research where different people are trying to develop or propose a system that can help the specially-able people of the society in the best possible way so that they can interact and communicate with the people of the society easily and without the problem of them learning the sign language. This language is basically used by the deaf and dumb people of society. This paper describes various ways a sign language recognition system has been built or has been proposed by different researchers. It also aims to have a better understanding of various recognition systems and various methods of recognizing and predicting the hand signs/hand gestures of the specially able people of the society. In return to predict a value which is in a humanreadable format that is text. This paper describes in detail about the various ways and how one method of sign language recognition is different from other based on performance, results, difficulty in developing the model, etc.

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