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Vision Based Multi-Feature Hand Gesture Recognition For Indian Sign Language Manual Signs Cover

Vision Based Multi-Feature Hand Gesture Recognition For Indian Sign Language Manual Signs

International Journal on Smart Sensing and Intelligent Systems
Volume 9 (2016): Issue 1 (January 2016)
By: Gajanan K. Kharate and  Archana S. Ghotkar  
Open Access
|Mar 2016

Authors

Gajanan K. Kharate

gkkharate@rediffmail.com

Matoshri College of Engineering and Research Centre, Department of Electronics and Telecommunication Engineering, Savitribai Phule Pune University, Nashik, India

Archana S. Ghotkar

archana.ghotkar@gmail.com

Pune Institute of Computer Technology, Department of Computer Engineering, (Research Scholar in I2IT, Hinjawadi, Pune) Savitribai Phule Pune University, Pune, India
DOI: https://doi.org/10.21307/ijssis-2017-863 | Journal eISSN: 1178-5608
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Language: English
Page range: 124 - 147
Submitted on: Jan 30, 2016
|
Accepted on: Jan 4, 2016
|
Published on: Mar 1, 2016
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Indian sign language interpretation,
k-nearest neighborhood classifier,
nearest mean Classifier,
Boundary moments,
Fourier descriptor,
7 Hu moments,
Chain code,
Shape matrix,
Naïve Bayes
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2016 Gajanan K. Kharate, Archana S. Ghotkar, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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