Hand gesture recognition using gradient orientation

Hand gesture recognition system can be used for providing the interface between computer and human using hand gestures. The main objective of the present work is to develop algorithms for the recognition of thirty six static hand gestures in the American Sign Language (ASL). By employing a pattern recognition technique in which the orientation histogram is used as a feature vector for gesture classification and interpolation accurate results are obtained.