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Discriminative multimodal biometric authentication based on quality measures
Escuela Politecnica Superior, Universidad Autonoma De Madrid, Spain.
Escuela Politecnica Superior, Universidad Autonoma De Madrid, Spain.
Escuela Politecnica Superior, Universidad Autonoma De Madrid, Spain.
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4929-1262
2005 (English)In: Pattern Recognition, ISSN 0031-3203, E-ISSN 1873-5142, Vol. 38, no 5, p. 777-779Article in journal (Refereed) Published
Abstract [en]

A novel score-level fusion strategy based on quality measures for multimodal biometric authentication is presented. In the proposed method, the fusion function is adapted every time an authentication claim is performed based on the estimated quality of the sensed biometric signals at this time. Experimental results combining written signatures and quality-labelled fingerprints are reported. The proposed scheme is shown to outperform significantly the fusion approach without considering quality signals. In particular, a relative improvement of approximately 20% is obtained on the publicly available MCYT bimodal database.

Place, publisher, year, edition, pages
Oxford: Pergamon Press, 2005. Vol. 38, no 5, p. 777-779
Keywords [en]
Biometrics, Multimodal, Authentication, Verification, Quality, Support vector machine, Fingerprint, Signature
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:hh:diva-269DOI: 10.1016/j.patcog.2004.11.012ISI: 000227360300013Scopus ID: 2-s2.0-13644264355Local ID: 2082/564OAI: oai:DiVA.org:hh-269DiVA, id: diva2:237448
Available from: 2006-11-27 Created: 2006-11-27 Last updated: 2018-03-23Bibliographically approved

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Bigun, Josef

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CiteExportLink to record
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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