Hand gesture recognition using gabor and radon transform with invariant moment features
In this article we present problem recognizing gestures and signs executed by hands. Gesture recognition is the process by which gestures formed by a user interact with the computer or is the element of the special signs language to convey meaning. We propose a methods for the recognition of hand gestures using Gabor wavelets (GW), Radon transform (RT) and texture features for gesture recognition. We comparison these features and proposes the fusion features for obtain high recognition rate.