An Experimental Analysis of the Relationship between Biometric Template Update and the Doddington’s Zoo: A Case Study in Face Verification

  • Ajita Rattani
  • Gian Luca Marcialis
  • Fabio Roli
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5716)


The problem of biometric template representativeness has recently attracted much attention with the introduction of several template update methods. Automatic template update methods adapt themselves to the intra-class variations of the input data. However, it is possible to hypothesize that the effect of template updating may not be the same for all the clients due to different characteristics of clients present in the biometric database. The goal of this paper is to investigate this hypothesis by explicitly partitioning clients into different groups of the “Doddington’s zoo” as a function of their “intrinsic” characteristics, and studying the effect of state of art template “self update” procedure on these different groups. Experimental evaluation on Equinox database with a case study on face verification system based on EBGM algorithm shows the strong evidence of non-uniform update effects on different clients classes and suggest to modify the update procedures according to the client’s characteristics.


Face Image Biometric System User Population Biometric Template Client Class 
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 2009

Authors and Affiliations

  • Ajita Rattani
    • 1
  • Gian Luca Marcialis
    • 1
  • Fabio Roli
    • 1
  1. 1.Department of Electrical and Electronic EngineeringUniversity of CagliariItaly

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