Histograms of orientation gradient investigation for static hand gestures
Sheenu, Garima Joshi, Renu Vig · 2015
In this paper, Histograms of Orientation Gradient (HOG) algorithm is used to identify the static hand gestures. Experimental results show that HOG descriptor is a better shape descriptor than existing feature sets for gesture recognition. The overall algorithm has only three main steps; pre-processing, feature extraction and classification. It completely omits the segmentation phase. SVM is used for recognition of gestures. High recognition accuracy is achieved for 11 hand gestures.