Sign Language Recognition System Using Machine Learning

Abstract

Abstract: Voice and language is the main thing that people understand one with the other. We can understand thoughts through hearing each other. Even nowadays we can give commands using voice recognition. But what if one hears absolutely nothing and eventually can't speak. Sign language is the main communication tool for hearing impaired and mute people and also to ensure their independent lives, automatic sign language interpretation is an extensive area of research. With use of image processing and artificial intelligence, many techniques and algorithms have been developed in this area. Every sign language recognition system is trained to recognize characters and convert them into the desired pattern. The goal of the proposed system to provide speech to infants, in this document ambidextrous Indian Sign Language is captured as a series of images and is processed using Python and then converted to speech and text.