Application of Neural Networks in Sign Language Gesture Recognition

Abstract

Neural Networks have a wide range of applications in the area of gesture recognition. This research gives a method to recognize English alphabets from A to Z in real-time using Neural Networks from a database of signs performed by a signer using a camera. A feature vector giving the dimensions of each sigh is calculated and processed using Neural Networks. The methodology is carried out using MATLAB 7.0 software.