SIGN LANGUAGE RECOGNITION FOR DEAF AND DUMB PEOPLE

Abstract

Every day we see many people who are facing illness like deaf, dumb and blind etc. They face difficulty to interact with others. Previously developed techniques are all sensors based and they didn't give the general solution. This paper explains a new technique of virtual talking without sensors. An image processing technique called Histogram of gradient (HOG) along with artificial neural network (ANN) has been used to train the System. Web Camera is used to take the image of different gestures and that will be used as input to the Mat lab. The software will recognizes the image and identifies the cores pending voice output which is played using voice replay kit. This paper explains two way communications between the deaf, dumb and normal people which means the proposed system is capable of converting the sign language to text and voice.