Segmentation, Tracking And Feature Extraction For Indian Sign Language Recognition

Sign Language is a means of communication between audibly challenged people. To provide an interface between the audibly challenged community and the rest of the world we need Sign Language translators. A sign language recognition system computerizes the work of a sign language translator. Every Sign Language Recognition (SLR) System is trained to recognize specific sets of signs and they correspondingly output the sign in the required format. These SLR systems are built with powerful image processing techniques. The sign language recognition systems are capable of recognizing a specific set of signing gestures and output the corresponding text/audio. Most of these systems involve the techniques of detection, segmentation, tracking, gesture recognition and classification. This paper proposes a design for a SLR System.