A Confidence-Based Late Fusion Framework For Audio-Visual Biometric Identification

  • Mohammad Rafiqul Alama, Mohammed Bennamouna, Roberto Tognerib, Ferdous Sohela
  • Published 2014

Abstract

This paper presents a confidence-based late fusion framework and its application to audiovisual biometric identification. We assign each biometric matcher a confidence value calculated from the matching scores it produces. Then a transformation of the matching scores is performed using a novel confidence ratio (C-ratio) i.e., the ratio of a matcher… (More)

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