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Bharatnatyam Hand Gesture Recognition using Contour Detection

Published on May 2016 by Vishwali Mhasawade, Joshi Akanksha
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National Conference on Advancements in Computer & Information Technology
Foundation of Computer Science USA
NCACIT2016 - Number 6
May 2016
Authors: Vishwali Mhasawade, Joshi Akanksha
5e032ef8-6801-4c51-b1d8-6a0fded3d05b

Vishwali Mhasawade, Joshi Akanksha . Bharatnatyam Hand Gesture Recognition using Contour Detection. National Conference on Advancements in Computer & Information Technology. NCACIT2016, 6 (May 2016), 5-9.

@article{
author = { Vishwali Mhasawade, Joshi Akanksha },
title = { Bharatnatyam Hand Gesture Recognition using Contour Detection },
journal = { National Conference on Advancements in Computer & Information Technology },
issue_date = { May 2016 },
volume = { NCACIT2016 },
number = { 6 },
month = { May },
year = { 2016 },
issn = 0975-8887,
pages = { 5-9 },
numpages = 5,
url = { /proceedings/ncacit2016/number6/24731-3084/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancements in Computer & Information Technology
%A Vishwali Mhasawade
%A Joshi Akanksha
%T Bharatnatyam Hand Gesture Recognition using Contour Detection
%J National Conference on Advancements in Computer & Information Technology
%@ 0975-8887
%V NCACIT2016
%N 6
%P 5-9
%D 2016
%I International Journal of Computer Applications
Abstract

For detecting the hand gestures or mudras used in Bharatnatyam a system has been accomplished. The input consists of an image of a hand gesture out of the 28 asamyuktamudras. The input image is processed and then compared with the various hand gesture images, and the system determines which hand gesture the input image resembles to. It then outputs the name of the input image. This system provides a way to determine the asamyukta mudra that an image comprises of.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Color Space Threshold Binarization Contour Detection