WRITER VERIFICATION BASED ON GRAPHOMETRIC FEATURES USING FEED-FORWARD NEURAL NETWORK

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

2010

Abstract

This paper shows a writer verification automatic system based on a set of graphometric characteristics extracted from handwritten words. That dataset has been tested with our off-line handwritten database, which consists of 110 writers with 10 samples per writer, where a sample is a dataset of 34 words. After our experiments, we have got a verification success rate of 95.63% and Equal Error Rate (EER) of 3.90% is achieved. For previous results, we have used as classifiers a Neural Network, for each writer.

Paper Citation

in Harvard Style

F. Romero C., Travieso C., Alonso J. and Ferrer M. (2010). WRITER VERIFICATION BASED ON GRAPHOMETRIC FEATURES USING FEED-FORWARD NEURAL NETWORK . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 353-358. DOI: 10.5220/0002589003530358

in Bibtex Style

@conference{biosignals10,
author={Carlos F. Romero and Carlos M. Travieso and Jesús B. Alonso and Miguel A. Ferrer},
title={WRITER VERIFICATION BASED ON GRAPHOMETRIC FEATURES USING FEED-FORWARD NEURAL NETWORK },
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={353-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002589003530358},
isbn={978-989-674-018-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - WRITER VERIFICATION BASED ON GRAPHOMETRIC FEATURES USING FEED-FORWARD NEURAL NETWORK
SN - 978-989-674-018-4
AU - F. Romero C.
AU - Travieso C.
AU - Alonso J.
AU - Ferrer M.
PY - 2010
SP - 353
EP - 358
DO - 10.5220/0002589003530358