An Experimental Comparison of Different Methods for Combining Biometric Identification Systems

  • Emanuela Marasco
  • Carlo Sansone
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6979)

Abstract

Several works in the recent literature on biometrics demonstrate the efficiency of the multimodal fusion to enhance performance and reliability of the automatic recognition. In this paper, we experimentally compare the behavior of different rules for integrating different biometric identification systems. We investigated how the benefits of the fusion change by varying the set of the fused modalities, the adopted fusion scheme and the performance of the individual matchers. The experiments were carried out on two multimodal databases, using face and fingerprint. We considered trained and fixed fusion methods at score, rank and decision level.

Keywords

Fusion Rule Fusion Scheme Modality Matcher Borda Count Biometric Trait 
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 2011

Authors and Affiliations

  • Emanuela Marasco
    • 1
  • Carlo Sansone
    • 1
  1. 1.Dipartimento di Informatica e SistemisticaUniversità degli Studi di Napoli Federico IINapoliItaly

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