CFS- InfoGain based Combined Shape-based Feature Vector for Signer Independent ISL Database

Garima Joshi, Renu Vig, Sukhwinder Singh

2017

Abstract

In Sign language Recognition (SLR) system, signs are identified on the basis of hand shapes. Zernike Moments (ZM) are used as an effective shape descriptor in the field of Pattern Recognition. These are derived from orthogonal Zernike polynomial. The Zernike polynomial characteristics change as order and iteration parameter are varied. Observing their behaviour gives an insight into the selection of a particular value of ZM as a part of an optimal feature vector. The performance of ZMs can be improved by combining it with other features, therefore, ZMs are combined with Hu Moments (HM) and Geometric features (GF). An optimal feature vector of size 56 is proposed for ISL dataset. The importance of the internal edge details to address issue of hand-over-hand occlusion is also highlighted in the paper. The proposed feature set gives high accuracy for Support Vector Machine (SVM), Logistic Model Tree (LMT) and Multilayer Perceptron (MLP). However, the accuracy of Bayes Net (BN), Nave Bayes (NB), J48 and k- Nearest Neighbour (k-NN) improves significantly for Info Gain based normalized feature set.

Paper Citation

in Harvard Style

Joshi G., Vig R. and Singh S. (2017). CFS- InfoGain based Combined Shape-based Feature Vector for Signer Independent ISL Database . In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 541-548. DOI: 10.5220/0006200905410548

in Bibtex Style

@conference{icpram17,
author={Garima Joshi and Renu Vig and Sukhwinder Singh},
title={CFS- InfoGain based Combined Shape-based Feature Vector for Signer Independent ISL Database},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={541-548},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006200905410548},
isbn={978-989-758-222-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - CFS- InfoGain based Combined Shape-based Feature Vector for Signer Independent ISL Database
SN - 978-989-758-222-6
AU - Joshi G.
AU - Vig R.
AU - Singh S.
PY - 2017
SP - 541
EP - 548
DO - 10.5220/0006200905410548