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Iris Perturbation Methods for Improved Recognition

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posted on 2012-03-14, 00:00 authored by Joseph William Thompson
Perturbations of software provided circular segmentations are used to generatemultiple probe templates from a single image. The multiple probes are matchedagainst 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 runningtimes. As a result, various methods of finding and selecting perturbations to beused 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 performmuch better than the original algorithm, approximate the performance of usingevery perturbation to less than 0.2%, and require between 500 to 1000 times lesstime to verify a single image.

History

Date Modified

2017-06-02

Research Director(s)

Patrick Flynn

Committee Members

Karen Hollingsworth Kevin Bowyer

Degree

  • Master of Science in Computer Science and Engineering

Degree Level

  • Master's Thesis

Language

  • English

Alternate Identifier

etd-03142012-121230

Publisher

University of Notre Dame

Program Name

  • Computer Science and Engineering

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