Restoration of Images using Dynamic Hand Gesture Recognition

In this paper, hand gesture recognition system is introduced for continuous gesture recognition. Our real time hand gesture recognition system is divided into three modules, skin detection, feature extraction and gesture recognition using decision tree id3 algorithm. For tracking the hand in real time, opencv library of image processing is used. Decision tree id3 algorithm is used for recognition of gesture in real time. With the help of real time hand gesture recognition, Image restoration operations such as denoising and deblurring are done. We can recover the historical images or images that contain degradation using image restoration. Non local kernel regression algorithm is used for image restoration. All image restoration operations are carried out using hand gesture recognition in real time so it eliminate the dependency of using any computer application with the help of physical device.