Vision based Hand Gesture Recognition using Dynamic Time Warping for Indian Sign Language

This paper presents an algorithm of Hand Gesture Recognition by using Dynamic Time Warping methodology. The system consists of three modules: real time detection of face region and two hand regions, tracking the hands trajectory both in terms of direction among consecutive frames as well as distance from the centre of the frame and gesture recognition based on analyzing variations in the hand locations along with the centre of the face. The proposed technique of ours overcomes not only the limitations of a glove based approach but also most of the vision based approach concerning different illumination conditions, background complexity and distance from camera which is up to 2 meters. Also by using Dynamic Time Warping Algorithm which finds the optimal alignment between the stored database features and query features, improvement in recognition accuracy is observed compared to conventional methods. Experimental results show that the accuracy is 90% in recognizing 24 gestures based on Indian Sign Language.