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Reseach Article

Review Paper on Sign Language Recognition Techniques

Published on December 2015 by Rashmi B. Hiremath, Ramesh M. Kagalkar
National Conference on Advances in Computing
Foundation of Computer Science USA
NCAC2015 - Number 3
December 2015
Authors: Rashmi B. Hiremath, Ramesh M. Kagalkar
4cc86056-bd4d-43d6-bcb8-887b57e6004a

Rashmi B. Hiremath, Ramesh M. Kagalkar . Review Paper on Sign Language Recognition Techniques. National Conference on Advances in Computing. NCAC2015, 3 (December 2015), 20-23.

@article{
author = { Rashmi B. Hiremath, Ramesh M. Kagalkar },
title = { Review Paper on Sign Language Recognition Techniques },
journal = { National Conference on Advances in Computing },
issue_date = { December 2015 },
volume = { NCAC2015 },
number = { 3 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 20-23 },
numpages = 4,
url = { /proceedings/ncac2015/number3/23373-5038/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing
%A Rashmi B. Hiremath
%A Ramesh M. Kagalkar
%T Review Paper on Sign Language Recognition Techniques
%J National Conference on Advances in Computing
%@ 0975-8887
%V NCAC2015
%N 3
%P 20-23
%D 2015
%I International Journal of Computer Applications
Abstract

In the fast development of knowledge and communication technology, communication sector has improved continuously. Artificial intelligence could be a field that includes a broad, extremely technical and specialized analysis space that specialize in differing kinds of sub areas and has generated lots of interest with several novel applications within the IT world. Long with recent developments in image process, Artificial intelligence has conjointly been accustomed mechanically acknowledge sign language gestures, in what's called ASLR (Automatic Sign Language Recognition). The most significance of this paper is to review the key finding of the comparison of similar system and also technology used in vision based hand gesture recognition.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Automatic Sign Language Recognition Feature Extraction Support Vector Machine Matlab Information And Communication Technology.