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Combining Multiple Matchers for Fingerprint Verification: A Case Study in FVC2004

  • J. Fierrez-Aguilar
  • Loris Nanni
  • J. Ortega-Garcia
  • Raffaele Cappelli
  • Davide Maltoni
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

Combining different algorithms submitted to the Third International Fingerprint Verification Competition (FVC2004) is studied. For this work, the matching results of more than 40 fingerprint systems from both academy and industry are available on standard benchmark data. In particular, we concentrate on score-level fusion of the different algorithms, studying the correlation between them by using feature-subset-selection techniques. Based on the general algorithmic descriptions provided by the participants, some interesting experimental findings are obtained.

Keywords

Support Vector Machine Equal Error Rate Biometric System Multiple Matcher Biometric Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • J. Fierrez-Aguilar
    • 1
  • Loris Nanni
    • 2
  • J. Ortega-Garcia
    • 1
  • Raffaele Cappelli
    • 2
  • Davide Maltoni
    • 2
  1. 1.ATVS, Escuela Politecnica SuperiorUniversidad Autonoma de MadridMadridSpain
  2. 2.Biometric Systems Lab., DEISUniversita di BolognaBolognaItaly

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