Simulating the Influences of Aging and Ocular Disease on Biometric Recognition Performance

Halvor Borgen, Patrick Bours, Stephen D. Wolthusen

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Many applications of ocular biometrics require long-term stability, yet only limited data on the effects of disease and aging on the error rates of ocular biometrics is currently available. Based on pathologies simulated using image manipulation validated by opthalmology and optometry specialists, the present paper reports on the effects that selected common ocular diseases and age-related pathologies have on the recognition performance of two widely used iris and retina recognition algorithms, finding the algorithms to be robust against many even highly visible pathologies, permitting acceptable re-enrolment intervals for most disease progressions.
Original languageEnglish
Title of host publicationThird International Conference on Advances in Biometrics (ICB 2009)
ISBN (Print)978-3-642-01793-3
Publication statusPublished - 2 Jun 2009

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