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Automatic Measures for Predicting Performance in Off-line Signature
Escuela Politecnica Superior, Univ. Autonoma de Madrid, Spain. (ATVS/Biometric Recognition Group)ORCID iD: 0000-0002-1400-346X
University of Kent, UK.
Escuela Politecnica Superior, Univ. Autonoma de Madrid, Spain. (ATVS/Biometric Recognition Group)
Escuela Politecnica Superior, Univ. Autonoma de Madrid, Spain. (ATVS/Biometric Recognition Group)
2007 (English)Conference paper, (Refereed)
Abstract [en]

Performance in terms of accuracy is one of the most important goal of a biometric system. Hence, having a measure which is able to predict the performance with respect to a particular sample of interest is specially useful, and can be exploited in a number of ways. In this paper, we present two automatic measures for predicting the performance in off-line signature verification. Results obtained on a sub-corpus of the MCYT signature database confirms a relationship between the proposed measures and system error rates measured in terms of Equal Error Rate (EER), False Acceptance Rate (FAR) and False Rejection Rate (FRR). © 2007 IEEE.

Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2007. Vol. 1, 369-372 p.
Series
IEEE International Conference on Image Processing ICIP, ISSN 1522-4880
Keyword [en]
Biometrics, Document image processing, Handwriting recognition, Pattern recognition
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-21201DOI: 10.1109/ICIP.2007.4378968ISI: 000253487200093Scopus ID: 2-s2.0-48149088643ISBN: 978-142441437-6S OAI: oai:DiVA.org:hh-21201DiVA: diva2:589334
Conference
14th IEEE International Conference on Image Processing, ICIP 2007, San Antonio, TX, USA, 16-19 September, 2007
Available from: 2013-01-17 Created: 2013-01-16 Last updated: 2015-09-29Bibliographically approved

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Alonso-Fernandez, Fernando
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf