A Review of Sign Language Recognition Techniques

Sign language recognition is important for natural and convenient communication between deaf community and hearing majority. Hand gestures are a form of nonverbal communication that makes up the bulk of the communication between mute individuals, as sign language constitutes largely of hand gestures. Research works based on hand gestures have adopted many different techniques, including those based on instrumented sensor technology and computer vision. In other words, the hand sign can be classified under many headings, such as posture and gesture, as well as dynamic and static, or a hybrid of the two. This paper focuses on a review of the literature on computer based sign language recognition approaches, their motivations, techniques, observed limitations and suggestion for improvement.