Custom Design of JPEG Quantisation Tables for Compressing Iris Polar Images to Improve Recognition Accuracy

  • Mario Konrad
  • Herbert Stögner
  • Andreas Uhl
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5558)

Abstract

Custom JPEG quantisation matrices are proposed to be used in the context of compressing iris polar images within iris recognition. These matrices are obtained by employing a Genetic algorithm for the corresponding optimisation. Superior matching results in iris recognition in terms of average Hamming distance and improved ROC are found as compared to the use of the default JPEG quantisation table.

Keywords

Receiver Operating Characteristic Iris Image Compression Rate Custom Design Biometric System 
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

  • Mario Konrad
    • 1
  • Herbert Stögner
    • 1
  • Andreas Uhl
    • 1
    • 2
  1. 1.School of Communication Engineering for ITCarinthia Tech InstituteAustria
  2. 2.Department of Computer SciencesSalzburg UniversityAustria

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