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

Hand Gesture Recognition of Dumb Person Using one Against All Neural Network