Entropy in Biometric Face Template Analysis

  • Maria De Marsico
  • Michele Nappi
  • Daniel Riccio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7325)


We will consider systems whose galleries contain more templates for each subject, and will explore the concept of representativeness of a biometric sample. This parameter varies from subject to subject, and is not a feature of the whole gallery. The gallery samples of certain subject might be too much similar, just because they are all of excellent quality, due to a systematic acquisitions in well-controlled conditions. In this situation, even a moderately different sample probe of the subject in input will cause an error, even by an accurate system, if the excellent conditions are not maintained. This seems to indicate that quality measures alone cannot guarantee good performances. Correct recognition in different situations may require a sufficient amount of variation in gallery templates. We call this (subject’s) gallery feature representativeness, and investigate the role of mutual information/entropy in defining it.


Face Recognition Mutual Information Representativeness 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Maria De Marsico
    • 1
  • Michele Nappi
    • 2
  • Daniel Riccio
    • 2
  1. 1.Sapienza Università di RomaRomaItalia
  2. 2.Università di SalernoSalernoItaly

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