Abstract

This paper presents the simulation of static gesture Indian sign language alphabet recognition system. The simulation is done by using Euclidean Distance based classification technique for Indian sign language recognition system. This paper contains the proposed system comprising of four major modules: Data Acquisition System (DAS), Preprocessing, Feature Extraction and Classification. A special purpose image processing algorithm is proposed in this paper to recognize several signs of Indian Sign Language, which is based on Eigen vector and Euclidean Distance.

Key words: Eigen vector Eigen value; Euclidean Distance; Recognition of Hand Gesture.