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Authors: Mohammad T. Sadeghi 1 ; Masoumeh Samiei 1 ; Seyed Mohammad T. Almodarresi 1 and Josef Kittler 2

Affiliations: 1 Yazd University, Iran, Islamic Republic of ; 2 Centre for Vision, Speech and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, United Kingdom

Keyword(s): Similarity measure, fusion, SVM classifier.

Abstract: In this paper, the problems of measuring similarity in LDA face space using different metrics and fusing the associated classifiers are considered. A few similarity measures used in different pattern recognition applications, including the recently proposed Gradient Direction (GD) metric are reviewed. An automatic parameter selection algorithm is then proposed for optimising the GD metric. In extensive experimentation on the BANCA database, we show that the optimised GD metric outperforms the other metrics in various conditions. Moreover, we demonstrate that by combining the GD metric and seven other metrics in the decision level using Support Vector Machines, the performance of the resulting decision making scheme consistently improves.

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Paper citation in several formats:
T. Sadeghi, M.; Samiei, M.; Mohammad T. Almodarresi, S. and Kittler, J. (2008). SIMILARITY MEASURES FUSION USING SVM CLASSIFIER FOR FACE AUTHENTICATION. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 105-110. DOI: 10.5220/0001087601050110

@conference{visapp08,
author={Mohammad {T. Sadeghi}. and Masoumeh Samiei. and Seyed {Mohammad T. Almodarresi}. and Josef Kittler.},
title={SIMILARITY MEASURES FUSION USING SVM CLASSIFIER FOR FACE AUTHENTICATION},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={105-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001087601050110},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - SIMILARITY MEASURES FUSION USING SVM CLASSIFIER FOR FACE AUTHENTICATION
SN - 978-989-8111-21-0
IS - 2184-4321
AU - T. Sadeghi, M.
AU - Samiei, M.
AU - Mohammad T. Almodarresi, S.
AU - Kittler, J.
PY - 2008
SP - 105
EP - 110
DO - 10.5220/0001087601050110
PB - SciTePress

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