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dc.contributor.author
Parodi, Marianela
dc.contributor.author
Gómez, Juan Carlos
dc.contributor.author
Marcus Liwicki
dc.contributor.author
Alewijnse, Linda
dc.date.available
2015-07-23T14:16:33Z
dc.date.issued
2013-07
dc.identifier.citation
Parodi, Marianela; Gómez, Juan Carlos; Marcus Liwicki; Alewijnse, Linda; Orthogonal function representation for online signature verification: Which features should be looked at?; Wiley; IET Biometrics; 2; 4; 7-2013; 137-150
dc.identifier.issn
2047-4938
dc.identifier.uri
http://hdl.handle.net/11336/1435
dc.description.abstract
In this study, several feature combinations are studied to analyse their relevance for online signature verification. Different time functions associated with the signing process are analysed in order to provide some insight on their actual discriminative power. This analysis could also help forensic handwriting experts (FHEs) to further understand the signatures and the writers behaviour. Among the different feature combinations analysed, a set of features which seems to be relevant for signature analysis by FHEs is particularly considered. The feasibility of developing a system which could complement the FHEs work is evaluated. Two different approximations of the analysed time functions are proposed, one based on the Legendre polynomials and another based on the wavelet decomposition. The coefficients in these orthogonal series expansions of the time functions are used as features to model them. Two different signature styles are considered, namely, Western and Chinese, of one of the most recent publicly available signature databases. The experimental results are promising, in particular for the features that seem to be relevant for the FHEs, since the obtained verification error rates are comparable with the ones reported in the state-of-the-art over the same datasets.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Online Signature Vewrification
dc.subject
Forensics Handwriting Experts
dc.subject
Feature Selection
dc.subject.classification
Otras Ciencias de la Computación e Información
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Orthogonal function representation for online signature verification: Which features should be looked at?
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2015-07-23T13:22:43Z
dc.journal.volume
2
dc.journal.number
4
dc.journal.pagination
137-150
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Parodi, Marianela. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
dc.description.fil
Fil: Gómez, Juan Carlos. Centro Científico Tecnológico - CONICET - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina
dc.description.fil
Fil: Marcus Liwicki. German Research Center for Artificial Intelligence; Alemania
dc.description.fil
Fil: Alewijnse, Linda. No especifíca;
dc.journal.title
IET Biometrics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-bmt.2013.0025
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1049/iet-bmt.2013.0025
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