Real-time 2DHoG-2DPCA algorithm for hand gesture recognition
Hand gesture recognition is one of the most challenging topics in computer vision. In this paper, a new hand gesture recognition algorithm presenting a 2D representation of histogram of oriented gradients is proposed, where each bin represents a range of angles dealt with in a separate layer which allows using 2DPCA. This method maintains the spatial relation between pixels which enhances the recognition accuracy. In addition, it can be applied on either hand contour or image representing hand details. Experimental results were performed on the latest existing depth camera dataset. The comparison with reported methods confirms excellent properties of our proposed method and promotes it for real time applications. © 2013 Springer-Verlag.