Effects of Time-Lapse and Contact Lenses on Iris Recognition

Master's Thesis


Iris biometrics is a flourishing field with multiple companies offering commercial systems being implemented in several real-world scenarios. However, before iris recognition can be implemented on a world-wide scale, important questions regard- ing its accuracy must be addressed.

From its conception, iris biometrics has operated with the assumption that the iris texture is highly stable over an individual’s lifetime and the claim has been made (and widely accepted) that enrollment is ‘once for a lifetime.’ Using four years time-lapse data for 46 ‘iris-subjects?,’ we present results from three different iris recognition systems that indicate that the iris biometrics template does ‘age’

Another element of iris biometrics folklore is that performance is not affected by sub jects wearing contact lenses during acquisitions. Our study on 124 non contact lens wearing sub jects and 88 contact lens sub jects yields results opposing this claim.

We present results debunking both of these common myths in iris recognition and show a real effect of time-lapse and contact lenses on iris biometric performance.


Attribute NameValues
  • etd-12012009-222648

Author Sarah Elizabeth Baker
Advisor Dr. Patrick Flynn
Contributor Dr. Gregory Madey, Committee Member
Contributor Dr. Kevin Bowyer, Committee Co-Chair
Contributor Dr. Patrick Flynn, Committee Co-Chair
Contributor Dr. Nitesh Chawla, Committee Member
Degree Level Master's Thesis
Degree Discipline Computer Science and Engineering
Degree Name Master of Science in Computer Science and Engineering
Defense Date
  • 2009-08-17

Submission Date 2009-12-01
  • United States of America

  • computer vision

  • time-lapse

  • iris biometrics

  • contact lenses

  • University of Notre Dame

  • English

Record Visibility Public
Content License
  • All rights reserved

Departments and Units

Digital Object Identifier


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