COMPARATIVE PERFORMANCE ANALYSIS OF HAND GESTURE RECOGNITION TECHNIQUES

These days it is important to interact with machine as naturally as two human beings do. Human interaction with each other has started with gesture communication and interaction with machine with gesture is natural and simple. The aim of gesture recognition system is to recognize the gestures posed by human being and use them to control computer or other systems. With advancements in computer vision and pattern recognition, a number of algorithms are developed for vision based hand gesture recognition. This paper presents two techniques of recognizing hand gestures one based on Principal Component Analysis (PCA) and the other based on Erosion and Image Subtraction. The paper also compares the results of both the techniques.