On Combining Selective Best Bits of Iris-Codes

  • Christian Rathgeb
  • Andreas Uhl
  • Peter Wild
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6583)


This paper describes a generic fusion technique for iris recognition at bit-level we refer to as Selective Bits Fusion. Instead of storing multiple biometric templates for each algorithm, the proposed approach extracts most discriminative bits from multiple algorithms into a new template being even smaller than templates for individual algorithms. Experiments for three individual iris recognition algorithms on the open CASIA-V3-Interval iris database illustrate the ability of this technique to improve accuracy and processing time simultaneously. In all tested configurations Selective Bits Fusion turned out to be more accurate than fusion using the Sum Rule while being about twice as fast. The design of the new template allows explicit control of processing time requirements and introduces a tradeoff between time and accuracy of biometric fusion, which is highlighted in this work.


Feature Extraction Method Equal Error Rate Iris Recognition Feature Extraction Algorithm Biometric Template 
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 2011

Authors and Affiliations

  • Christian Rathgeb
    • 1
  • Andreas Uhl
    • 1
  • Peter Wild
    • 1
  1. 1.Department of Computer SciencesUniversity of SalzburgSalzburgAustria

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