Temporal Analysis of Biometric Template Update Procedures in Uncontrolled Environment

  • Ajita Rattani
  • Gian Luca Marcialis
  • Fabio Roli
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6978)


Self-update and co-update algorithms are aimed at gradually adapting biometric templates to the intra-class variations. These update techniques have been claimed to be effective in capturing variations occurring in medium time period but no experimental evaluations have been done in the literature to clearly show this fact. The aim of this paper is the analysis and comparison of these update techniques on the sequence of input batch of samples as available over time, specifically, in the time-span of 1.5 years. Effectiveness of these techniques have been compared in terms of capability to capture significant intra-class variations and the attained performance improvement, over time. Experiments are carried out on DIEE multi-modal dataset, explicitly collected for this aim. This dataset is publicly available by contacting the authors.


Biometrics Face Fingerprint Self-update Co-update 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

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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