A Fusion Methodology for Recognition of Off-Line Signatures

Muhammad Arif, Thierry Brouard, Nicole Vincent


In this paper we are presenting a work concerning the classification and recognition of off-line signatures. Signatures form a special class of hand-writing in which legible letters or words may be impossible to exhibit but we can extract some features with the help of some parameters. Our proposed fusion methodology for improving the classification and recognition performance of classifiers is based on Dempster-Shafer evidence theory in which our contribution regarding to solve the problems like selection of focal elements and modeling the belief functions is also given. Distance classifiers studied, classify off-line signature images with the help of signature images projection along different axes and by employing some geometrical and fractal parameters which are explained in this article. Dempster-Shafer theory when applied for the fusion of these classifiers has improved the overall recognition rate.


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Paper Citation

in Harvard Style

Arif M., Brouard T. and Vincent N. (2004). A Fusion Methodology for Recognition of Off-Line Signatures . In Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004) ISBN 972-8865-01-5, pages 35-44. DOI: 10.5220/0002682200350044

in Bibtex Style

author={Muhammad Arif and Thierry Brouard and Nicole Vincent},
title={A Fusion Methodology for Recognition of Off-Line Signatures},
booktitle={Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004)},

in EndNote Style

JO - Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004)
TI - A Fusion Methodology for Recognition of Off-Line Signatures
SN - 972-8865-01-5
AU - Arif M.
AU - Brouard T.
AU - Vincent N.
PY - 2004
SP - 35
EP - 44
DO - 10.5220/0002682200350044