Conversion of Sign Language into Text Using Machine Learning Technique

Abstract

Communication is giving, receiving or exchanging ideas, information, signals or messages through appropriate media, to give information or to express emotions. It is very important and basic need for human beings. But there are some people in our society who born dumb and deaf or deaf due to some medical issues. These people faced many challenges while communicating with each other and also to the normal people. Sign language is one of the commonly used method by these people for communication. For this translator is required for communication between the person who knows the sign language and to whom they want convey their message. But for many instances translator is not available which creates a communication gap. This can be overcome with the help of using Machine learning algorithm. The main aim of this work is to provide such system which will convert the hand gestures into text using Convolutional Neural Network (CNN) algorithm. This will help deaf and dumb people to communicate very efficiently.