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On the vulnerability of fingerprint verification systems to fake fingerprint attacks
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
Escuela Politecnica Superior, Univ. Autonoma de Madrid, Spain. (ATVS/Biometric Recognition Group)ORCID iD: 0000-0002-1400-346X
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2006 (English)In: Proceedings: International Carnahan Conference on Security Technology, Piscataway, N.J.: IEEE Press, 2006, 130-136 p.Conference paper, (Refereed)
Abstract [en]

A new method to generate gummy fingers is presented. A medium-size fake fingerprint database is described and two different fingerprint verification systems are evaluated on it. Three different scenarios are considered in the experiments, namely: enrollment and test with real fingerprints, enrollment and test with fake fingerprints, and enrollment with real fingerprints and test with fake fingerprints. Results for an optical and a thermal sweeping sensors are given. Both systems are shown to be vulnerable to direct attacks. © 2006 IEEE.

Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2006. 130-136 p.
Series
Conference on Crime Countermeasures and Security. Proceedings, ISSN 0737-1160
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-21250DOI: 10.1109/CCST.2006.313441ISI: 000243472000021Scopus ID: 2-s2.0-37849011664ISBN: 978-142440174-1 OAI: oai:DiVA.org:hh-21250DiVA: diva2:589372
Conference
2006 40th Annual IEEE International Carnahan Conference on Security Technology, ICCST, Lexington, KY, USA, 16-19 October, 2006
Available from: 2013-01-17 Created: 2013-01-17 Last updated: 2015-09-29Bibliographically approved

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Alonso-Fernandez, Fernando
Signal Processing

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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
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