A new protocol for multi-biometric systems' evaluation maintaining the dependencies between biometric scores

  • Authors:
  • LorèNe Allano;Bernadette Dorizzi;Sonia Garcia-Salicetti

  • Affiliations:
  • CEA, LIST, F-91191 Gif-sur-Yvette, France;Institut Telecom, Telecom SudParis, Department of Electronics and PHysics, 91011 Evry, France;Institut Telecom, Telecom SudParis, Department of Electronics and PHysics, 91011 Evry, France

  • Venue:
  • Pattern Recognition
  • Year:
  • 2012

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Abstract

We address the problem of measuring the dependency of multibiometric systems' scores, using Kolmogorov-Smirnov and Mutual Information criteria, and studying the validity of performance evaluation on chimeric persons. On the NIST-BSSR1 database, we formalize a common assumption in the literature: for independent scores, multibiometric systems can be evaluated on ''random chimeric'' persons. We show that this is not valid for dependent scores and propose a novel protocol for building ''cluster-based chimeric'' persons maintaining the level of dependency between scores. Finally, we show that performance evaluation for dependent modalities on such persons is equivalent to that obtained on ''real'' persons.