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Assuring liveness in biometric identity authentication by real-time face tracking
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0002-4929-1262
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
2004 (English)In: CIHSPS 2004: proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety : S. Giuliano, Venice, Italy, 21-22 July 2004 / [ed] IEEE, Piscataway, N.J.: IEEE Press, 2004, 104-111 p.Conference paper, Published paper (Refereed)
Abstract [en]

A system that combines real-time face tracking as well as the localization of facial landmarks in order to improve the authenticity of fingerprint recognition is introduced. The intended purpose of this application is to assist in securing public areas and individuals, in addition to enforce that the collected sensor data in a multi modal person authentication system originate front present persons, i.e. the system is not under a so called play back attack. Facial features are extracted with the help of Gabor filters and classified by SVM experts. For real-time performance, selected points from a retinotopic grid are used to form regional face models. Additionally only a subset of the Gabor decomposition is used for different face regions. The second modality presented is texture-based fingerprint recognition, exploiting linear symmetry. Experimental results on the proposed system are presented.

Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2004. 104-111 p.
Keyword [en]
face tracking, multi modal person authenticaion, biometric identity authentication, Support Vector Machines, Gabor decomposition, log-polar sampling, fingerprint recognition
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-18734ISI: 000223961000017Scopus ID: 2-s2.0-13444273565ISBN: 0-7803-8381-8 (print)ISBN: 9780780383814 (print)OAI: oai:DiVA.org:hh-18734DiVA: diva2:560893
Conference
2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety : S. Giuliano, Venice, Italy, 21-22 July 2004
Available from: 2012-10-16 Created: 2012-06-25 Last updated: 2017-09-27Bibliographically approved

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Bigun, JosefFronthaler, HartwigKollreider, Klaus
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
More styles
Language
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  • en-US
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  • nn-NO
  • nn-NB
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More languages
Output format
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  • text
  • asciidoc
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