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Off-line Signature Verification Using Contour Features
Universidad Autonoma de Madrid, Spain.
Escuela Politecnica Superior, Univ. Autonoma de Madrid, Spain. (ATVS/Biometric Recognition Group)ORCID iD: 0000-0002-1400-346X
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
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2008 (English)In: Proceedings: eleventh International Conference on Frontiers in Handwriting Recognition, Montréal, Québec - Canada, August 19-21, 2008, Montréal: CENPARMI, Concordia University , 2008Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Montréal: CENPARMI, Concordia University , 2008.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-21245ISBN: 9781895193039 OAI: oai:DiVA.org:hh-21245DiVA: diva2:589369
Conference
11th International Conference on Frontiers in Handwriting Recognition, Montréal, Québec - Canada, August 19-21, 2008
Available from: 2013-01-17 Created: 2013-01-17 Last updated: 2015-09-29Bibliographically approved

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Alonso-Fernandez, Fernando
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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