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

Authors:
Halvor Borgen;Patrick Bours;Stephen D. Wolthusen
Affiliations:
Norwegian Information Security Laboratory, Gjøvik University College, Gjøvik, Norway N-2802;Norwegian Information Security Laboratory, Gjøvik University College, Gjøvik, Norway N-2802;Norwegian Information Security Laboratory, Gjøvik University College, Gjøvik, Norway N-2802 and Information Security Group, Department of Mathematics, Royal Holloway, University of Londo ...
Venue:
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Year:
2009

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Abstract

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.