Abstract

Sign language is the only mode of communication for the Deaf and Dumb people. Various sign languages are used in various countries and regions. In India, Indian Sign Language is followed. It has both static and dynamic hand gestures. A normal person cannot understand the signs of what the deaf and dumb people are doing, so an interpreter is needed to interpret the sign language. It is very expensive to have an interpreter for day-to-day activities. It is good to have a computer and algorithms to interpret sign languages. Numerous research has been carried out in this field. This paper aims to review the methods that are used to interpret static sign languages including image processing methods, machine learning algorithms and deep learning algorithms.

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