  We propose a new technique for recognition of dumb person hand gesture in
real world environment. In this technique, the hand image containing the
gesture is preprocessed and then hand region is segmented by convergent the RGB
color image to L.a.b color space. Only few statistical features are used to
classify the segmented image to different classes. Artificial Neural Network is
trained in sequential manner using one against all. When the system gets
trained, it becomes capable of recognition of each class in parallel manner.
The result of proposed technique is much better than existing techniques.
