On the Bin Number Choice of Joint Histogram Estimation Applied to Mutual Information based Face Recognition

Abdenour Hacine-Gharbi, Philippe Ravier

2014

Abstract

In this paper, we investigate the binning problem of joint histogram estimation applied to mutual information based face recognition application. Classical approaches for histograms estimation tend to empirically fix the bin numbers. We evaluate in this work some state of the art rules for automatically choosing the bin numbers. The face recognition problem has been studied in the case of local and holistic methods. The choice’s performance has been evaluated using AT&T database with single sample in the training set. The results show that better accuracy recognition rates can be achieved with data driven bin number choices rather than fixed bin numbers. In the local method, the results show a higher robustness of the automatic vs fixed bin number choice when the regions become smaller.

Paper Citation

in Harvard Style

Hacine-Gharbi A. and Ravier P. (2014). On the Bin Number Choice of Joint Histogram Estimation Applied to Mutual Information based Face Recognition . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 777-782. DOI: 10.5220/0004925607770782

in Bibtex Style

@conference{icpram14,
author={Abdenour Hacine-Gharbi and Philippe Ravier},
title={On the Bin Number Choice of Joint Histogram Estimation Applied to Mutual Information based Face Recognition},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={777-782},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004925607770782},
isbn={978-989-758-018-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - On the Bin Number Choice of Joint Histogram Estimation Applied to Mutual Information based Face Recognition
SN - 978-989-758-018-5
AU - Hacine-Gharbi A.
AU - Ravier P.
PY - 2014
SP - 777
EP - 782
DO - 10.5220/0004925607770782