British Sign Language Recognition using HOG

This paper sheds light over a new method for the recognition of British Sign language. The proposed method uses Histogram of Oriented Gradients (HOG) for processing the images and Artificial Neural Network (ANN) as the classifier. The pictures of the hand Gestures are taken using a camera and are given to the system for processing. From these results, HOG features are extracted by the system and the results are provided to the ANN for recognition. The system identifies the hand gestures with an accuracy of 99.01 percent.