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Simulating the Influences of Aging and Ocular Disease on Biometric Recognition Performance
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 5558/2009 |
| Book | Advances in Biometrics |
| DOI | 10.1007/978-3-642-01793-3 |
| Copyright | 2009 |
| ISBN | 978-3-642-01792-6 |
| DOI | 10.1007/978-3-642-01793-3_87 |
| Pages | 857-867 |
| Subject Collection | Computer Science |
| SpringerLink Date | Thursday, June 04, 2009 |
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Simulating the Influences of Aging and Ocular Disease on Biometric Recognition Performance
Halvor Borgen18, Patrick Bours18 and Stephen D. Wolthusen18, 19
| (18) |
Norwegian Information Security Laboratory, Gjøvik University College, P.O. Box 191, N-2802 Gjøvik, Norway |
| (19) |
Information Security Group, Department of Mathematics, Royal Holloway, University of London, Egham Hill, Egham, TW20 0EX, United Kingdom |
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.
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