Information Measure Ratio Based Real Time Approach for Hand Region Segmentation with a Focus on Gesture Recognition

This paper presents an efficient and real time novel approach for hand region segmentation with an aim to achieve hand gesture recognition under varying illumination. The overall methodology is a two step process: (a) to achieve the segmentation of the hand from the complex background and (b) to recognize the hand gesture efficiently and accurately. Hand segmentation is achieved using block based picture information ratio and recognition is done using Principal Component Analysis (PCA). In the experimental results four basic hand gestures have been considered which were recognized consistently in complex but near constant background and varying illumination. The prototype has been developed in X86, tested with live videos captured by low cost web cams . It performs with 98% accuracy in real time.