A Comprehensive Analysis on Sign Language Recognition System
Rajesh George Rajan1, M Judith Leo2
1Rajesh George Rajan, Research Scholar, Hindustan Institute of Technology and Science, Chennai, (Tamil Nadu), India.
2M Judith Leo, Assistant Professor, Hindustan Institute of Technology and Science, Chennai, (Tamil Nadu), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 749-755 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2746037619/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Thriving efforts in the area of Sign Language Recognition (SLR) research within the last few decades makes a good interaction between human and computer system. Sign Language is basically a means for dissemination through signing which, utilizes specific sign patterns performed to deliver the meaning with the use of hands, lips and facial expressions to conveniently be able to express the signer’s thoughts. The process involves the concurrent association of the shape of hands, the position of the body posture and also the facial expressions. We provide a review of different Automatic Sign Language Recognition system reported in the last few years.
Keywords: Sign Language Recognition System, Gesture Recognition and Hand Gestures.
Scope of the Article: Structural Reliability Analysis