dc.creatorParodi, Marianela
dc.creatorGómez, Juan Carlos
dc.date2010
dc.date2010
dc.date2023-05-10T12:44:36Z
dc.date.accessioned2023-07-15T10:23:52Z
dc.date.available2023-07-15T10:23:52Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/152689
dc.identifierhttp://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asai-15.pdf
dc.identifierissn:1850-2784
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7491713
dc.descriptionIn this paper, a new feature extraction approach based on a circular grid is proposed for off-line signature verification. Graphometric features used in the rectangular grid segmentation approach are adapted to this new grid geometry. A Support Vector Machine (SVM) based classifier scheme is used for classification tasks and a comparison between the rectangular and the circular grid approaches is performed. The results obtained during the experimental phase have shown improvements when using the proposed features with respect to the case of using the features extracted from rectangular grids, specially, in discriminating simple and skilled forgeries.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format163-174
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectOff-line Signature Verification
dc.subjectSupport Vector Machines
dc.subjectFeature Extraction
dc.titleA Circular Grid-Based Feature Extraction Approach for Off-line Signature Verification
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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