Arabic sign Language Recognition: Towards a Dual Way Communication System Between Deaf and Non-Deaf People

One key perspective when communicating with deaf people is sign language recognition. Many experts agree upon the fact that using a system communication is a key for bridging the gap between deaf and non deaf people since ordinary people can not exchange using the sign language. As a result, researchers, deaf people, parents and deaf-mute community are striving to have a bidirectional communication system based on translation with lower costs. The importance of the research is related to its goal of helping these categories of unvoiced people communicate with others and enhance their contributions to growth and capacity building and vice versa.This paper gives an overview of the most used techniques and technologies (gloves, android application, image processing, …) in order to translate sign language to written or spoken language. Furthermore, this paper provides a critical and comparative analysis of the studied approaches and stands out major challenges to overcome their limits. Finally, we propose in this paper a dual way communication system ensuring arabic sign language translation into spoken language based on image processing and deep learning.