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Abstract

Deaf individuals use sign language to interact with each other and with people in general. In most cases, an interpreter is needed in order for a hearing person to have a conversation with a deaf person. The study of recognizing visual signs is becoming more prevalent in the field of computer vision. A deaf person may be able to communicate with hearing people without an interpreter if reliable sign language recognition technology is made available to them. It can be used to generate voice or text, giving the mute greater independence. The study of Arabic sign language recognition is crucial. It facilitates better communication between the deaf and others in the community. This paper attempts to investigate the current Arabic sign language (ArSL) recognition approaches which are commonly and efficiently used for building the automatic translation and recognition of ArSL systems. Furthermore, the focus is given on highlighting the challenges and future work directions to explore the unsolved problems related to ArSL recognition systems.