HYBRID PARAMETERIZATION SYSTEM FOR WRITER IDENTIFICATION

Carlos F. Romero, Carlos M. Travieso, Jesús B. Alonso, Miguel A. Ferrer

Abstract

In this paper, we present a hybrid parameterization system from classical and graphologist features, as the existing percentage of cohesion in the writing of each individual, as well as the smaller and greater axes of the ovals and loops. They have been used on the writer identification together with other parameters applied to handwritten words. That set of characteristics has been tested with our off-line database, which consists of 70 writers with 10 samples per writer and as well each sample is composed of 34 words. We have got a success rate of 96%, applying as classifier Neural Network, and after, the technique of “more voted” algorithm, with 10 Neural Networks.

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Paper Citation


in Harvard Style

Romero C., Travieso C., Alonso J. and Ferrer M. (2009). HYBRID PARAMETERIZATION SYSTEM FOR WRITER IDENTIFICATION . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 449-454. DOI: 10.5220/0001123104490454


in Bibtex Style

@conference{biosignals09,
author={Carlos F. Romero and Carlos M. Travieso and Jesús B. Alonso and Miguel A. Ferrer},
title={HYBRID PARAMETERIZATION SYSTEM FOR WRITER IDENTIFICATION},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={449-454},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001123104490454},
isbn={978-989-8111-65-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - HYBRID PARAMETERIZATION SYSTEM FOR WRITER IDENTIFICATION
SN - 978-989-8111-65-4
AU - Romero C.
AU - Travieso C.
AU - Alonso J.
AU - Ferrer M.
PY - 2009
SP - 449
EP - 454
DO - 10.5220/0001123104490454