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Authors: Bence Kővári ; Áron Horváth ; Zsolt Kertész and Csaba Illés

Affiliation: Budapest University of Technology and Economics, Hungary

Keyword(s): Signature verification, feature extraction, stroke recovery, off-line analysis, curve fitting.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Enterprise Software Technologies ; Evolutionary Computing ; Intelligent Problem Solving ; Knowledge Acquisition ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Software Engineering ; Symbolic Systems

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 signa ture processing. (More)

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Paper citation in several formats:
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 3: ICSOFT; ISBN 978-989-8111-05-0; ISSN 2184-2833, SciTePress, pages 270-276. DOI: 10.5220/0001344402700276

@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 3: ICSOFT},
year={2007},
pages={270-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001344402700276},
isbn={978-989-8111-05-0},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT
TI - OFF-LINE SIGNATURE VERIFICATION - Comparison of Stroke Extraction Methods
SN - 978-989-8111-05-0
IS - 2184-2833
AU - Kővári, B.
AU - Horváth, Á.
AU - Kertész, Z.
AU - Illés, C.
PY - 2007
SP - 270
EP - 276
DO - 10.5220/0001344402700276
PB - SciTePress