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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
  1. S. Mitra and T. Acharya, "Gesture recognition: A survey," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 37, no. 3, pp. 311–324, 2007.
  2. C. Mythili and V. Kavitha, "Color Image Segmentation using ERKFCM" International Journal of Computer Applications (0975 – 8887) Volume 41– No. 20, March 2012.
  3. Michal Podpora and Grzegorz Pawe? Korbas, Aleksandra Kawala-Janik, "YUV vs. RGB – Choosing a Color Space for Human-Machine Interaction," Position papers of the 2014 Federated Conference on Computer Science and Information Systems pp. 29–34 DOI: 10. 15439/2014F206 ACSIS, Vol. 3.
  4. Roy, S and Mitra, A, "Color Scale & grayscale image representation using multivector"Computer, Communication, Control and Information Technology (C3IT), 2015, 978-1-4799-4446-0.
  5. I. Sobel, "Neighborhood coding of binary images for fast contour following and general binary array processing," Computer Graphics and Image Processing,vol. 8, no. 1, pp. 127–135, 1978. .
  6. Sergey Milyaev, Olga Barinova , Tatiana Novikova , Pushmeet Kohli and Victor Lempitsky, "Image binarization for end-to-end text understanding in natural images,mbnlk_icdar2013. pdf.
  7. H. Devi and T. Acharya, "Thresholding: A Pixel-Level Image Processing Methodology Preprocessing Technique for an OCR System for the Brahmi Script," Ancient Asia, Journal of the Society of South Asian Archaeology, Published on 01 Dec 2006.
  8. Image Binarization using Otsu Method by XuLiang.
  9. Image Processing for Computer Graphics By Jonas Gomes, Luiz Velh
Index Terms

Computer Science
Information Sciences

Keywords

Color Space Threshold Binarization Contour Detection