OFF-LINE SIGNATURE VERIFICATION - Comparison of Stroke Extraction Methods

Bence Kővári, Áron Horváth, Zsolt Kertész, Csaba Illés

Abstract

Stroke extraction is a necessary part of the majority of semantic based off-line signature verification systems. This paper discusses some stroke extraction variants which can be efficiently used in such environments. First the different aspects and problems of signature verification are discussed in conjunction with off-line analysis methods. It is shown, that on-line analysis methods perform usually better than off- line methods because they can make use of the temporal information (and thereby get a better perception of the semantics of the signature). To improve the accuracy of off-line signature verification methods the extraction of semantic information is necessary. Three different approaches are introduced to reconstruct the original strokes of a signature. One purely based on simple image processing algorithms, one with some more intelligent processing and one with a pen model. The methods are examined and compared with regard to their benefits and drawbacks on further signature processing.

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Paper Citation


in Harvard Style

Kővári B., Horváth Á., Kertész Z. and Illés C. (2007). OFF-LINE SIGNATURE VERIFICATION - Comparison of Stroke Extraction Methods . In Proceedings of the Second International Conference on Software and Data Technologies - Volume 1: ICSOFT, ISBN 978-989-8111-05-0, pages 270-276. DOI: 10.5220/0001344402700276


in Bibtex Style

@conference{icsoft07,
author={Bence Kővári and Áron Horváth and Zsolt Kertész and Csaba Illés},
title={OFF-LINE SIGNATURE VERIFICATION - Comparison of Stroke Extraction Methods},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 1: ICSOFT,},
year={2007},
pages={270-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001344402700276},
isbn={978-989-8111-05-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 1: ICSOFT,
TI - OFF-LINE SIGNATURE VERIFICATION - Comparison of Stroke Extraction Methods
SN - 978-989-8111-05-0
AU - Kővári B.
AU - Horváth Á.
AU - Kertész Z.
AU - Illés C.
PY - 2007
SP - 270
EP - 276
DO - 10.5220/0001344402700276