Off-line signature verification using contour features
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Centre for Pattern Recognition and Machine Intelligence (CENPARMI)Date
2008-08-20Citation
11th International Conference on Frontiers in Hadwriting Recognition. CENPARMI, Montreal, August 19-21 2008Funded by
This work has been supported by Spanish project TEC2006-13141-C03-03, and by European Commission IST-2002-507634 Biosecure NoE.Project
info:eu-repo/grantAgreement/EC/FP6/507634Editor's Version
http://www.cenparmi.concordia.ca/ICFHR2008/Proceedings/papers/cr1096.pdfSubjects
TelecomunicacionesNote
Proceedings of the International Conference on Frontiers in Hadwriting Recognition (ICFHR 2008)Rights
© 2008 CENPARMIAbstract
An off-line signature verification system based on contour
features is presented. It works at the local image
level, and encodes directional properties of signature contours
and the length of regions enclosed inside letters.
Results obtained on a sub-corpus of the MCYT signature
database shows that directional-based features work
much better than length-based features. Results are comparable
to existing approaches based on different features.
It is also observed that combination of the proposed
features does not provide improvements in performance,
maybe to some existing correlation among them.
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Google Scholar:Gilpérez de la Hera, Almudena
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Alonso Fernández, Fernando
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Pecharromán, Susana
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Fiérrez Aguilar, Julián
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Ortega García, Javier
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