Indian Sign Language Recognition based on Histograms of Oriented Gradient

Abstract — Hand gesture is an active area of research in the computer vision, mainly for the purpose of sign language recognition and Human Computer interaction. In this paper, a method for hand gesture recognition of Indian sign language is proposed. The accurate classification of hand gestures plays a vital role to develop an efficient hand gesture recognition system. To implement this approach we have utilized a simple web camera to capture hand gesture images. An attempt is made to propose a system to recognize alphabets characters (A-Z) and numerals (0-9) using Histograms of Oriented Gradients (HOG) features. The purpose is to implement the algorithm of extracting Histogram of Gradient Orientation (HOG) features and these features are used to pass in neural network training for the gesture recognition purpose