Occluded Face Recognition Using Machine Learning

This is a paper for a Sign Language Recognition System. The end user will be able to learn and understand sign language through this system. Machine Learning is an up and coming field which forms the basis of Artificial Intelligence. Machine Learning has been widely used for optical character recognition that can recognize characters, written or printed. The principles of supervised learning have allowed us to come up with many classification, prediction and identification systems. Sign Language is mainly used by deaf (hard hearing) and dumbpeople to exchange information between their own community and with other people. It is a language where people use their hand gestures to communicate as if they can’t speak or hear.