Abstract
The paper presents an iris aging analysis based on comparison results obtained for four different iris matchers. We collected an iris aging database of samples captured even eight years apart. To our best knowledge, this is the only database worldwide of iris images collected with such a large time distance between capture sessions. We evaluated the influence of the intra- vs. inter-session accuracy of the iris recognition, as well as the accuracy between the short term (up to two years) vs. long term comparisons (from 5 to 9 years). The average genuine scores revealed statistically significant differences with respect to the time distance between examined samples (up to 14 % of degradation in the average genuine scores is observed). These results may suggest that the iris pattern ages to some extent, and thus appropriate countermeasures should be deployed in application assuming large time distances between iris template replacements (or adaptations).
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- 1.
FNMR (False Non-Match Rate) is an empirical estimate of the recognition method error relying on falsely rejecting a genuine sample; FMR (False Match Rate) is an empirical estimate of the recognition method error relying on falsely accepting an impostor sample.
- 2.
EER (Equal Error Rate) is the value of FNMR (or FMR) at the operating point of Receiver Operating Curve yielding equal values of FMR and FNMR.
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Acknowledgements
The author would like to thank Mr. Mateusz Trokielewicz for initial validation of the segmentation results calculated for the BioBase-Aging-Iris samples. The author is also cordially indebted Dr. Joanna Putz-Leszczyska, Dr. Lukasz Stasiak, Mr. Marcin Chochowski and Mr. Rafał Brize, with whom he had collectively built the BioBase-Aging-Iris database. The author also appreciates Mr. Marcin Chochowski for necessary bugs fixing in the original OSIRIS matcher, and making a new, corrected version available for this work. This work was partially funded by The National Centre for Research and Development (grant No. OR0B002701: “Biometrics and PKI techniques for modern identity documents and protection of information systems – BIOPKI”).
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Czajka, A. (2014). Influence of Iris Template Aging on Recognition Reliability. In: Fernández-Chimeno, M., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2013. Communications in Computer and Information Science, vol 452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44485-6_20
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DOI: https://doi.org/10.1007/978-3-662-44485-6_20
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