Iris Perturbation Methods for Improved Recognition

Master's Thesis

Abstract

Perturbations of software provided circular segmentations are used to generate multiple probe templates from a single image. The multiple probes are matched against a gallery in order to improve the verification rate of the original algorithm. Using too many of the generated probes will result in greatly increased running times. As a result, various methods of finding and selecting perturbations to be used are empirically examined. Using ROC analysis of the true accept rate (TAR) at a given false accept rate of 0.001, many methods are discovered that perform much better than the original algorithm, approximate the performance of using every perturbation to less than 0.2%, and require between 500 to 1000 times less time to verify a single image.

Attributes

Attribute NameValues
URN
  • etd-03142012-121230

Author Joseph William Thompson
Advisor Patrick Flynn
Contributor Karen Hollingsworth, Committee Member
Contributor Kevin Bowyer, Committee Member
Contributor Patrick Flynn, Committee Chair
Degree Level Master's Thesis
Degree Discipline Computer Science and Engineering
Degree Name MSCSE
Defense Date
  • 2011-08-11

Submission Date 2012-03-14
Country
  • United States of America

Subject
  • Receiver Operating Characteristic

  • Perturbation

  • Comparative analysis

  • Iris Recognition

Publisher
  • University of Notre Dame

Language
  • English

Record Visibility Public
Content License
  • All rights reserved

Departments and Units

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