A Survey of Gesture Recognition Systems for Indian Sign Language Recognition
Komal Sheth1, Nitish Gadgil2, P. R. Futane3
1Komal Sheth, Computer Engineering Department, Pune University, Sinhgad College of Engineering, Pune, India.
2Nitish Gadgil, National Thermal Power Corporation Limited, Nagpur, India.
3Prof. P. R. Futane, HOD, Computer Engineering Department, Pune University, Sinhgad College of Engineering, Pune, India.
Manuscript received on July 19, 2013. | Revised Manuscript received on August 05, 2013. | Manuscript published on August 30, 2013. | PP: 284-289 | Volume-2, Issue-6, August 2013. | Retrieval Number: F2097082613/2013©BEIESP
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© 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: The problem of Sign Language Recognition (SLR) consists of four main stages, Video Acquisition, Video Processing, Feature Extraction and Recognition. SLR is a multi-disciplinary research area; hence literature survey of each stage mentioned above is done independently in order to find the suitable best method for each stage. Another reason for doing independent literature survey of each stage is, selection of efficient method at each stage will improve the overall performance of the SLR system. The set of techniques reviewed in this paper can be selected for developing a system for recognition of the native Indian Sign Language (ISL).
Keywords: SLR, ISL, Skin Detection, Feature Extraction.