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Author: Adam Czajka

Affiliation: Warsaw University of Technology and Research and Academic Computer Network, Poland

ISBN: 978-989-8565-36-5

Keyword(s): Biometric Template Ageing, Iris Recognition, Biometrics.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Multimedia ; Multimedia Signal Processing ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Telecommunications

Abstract: The paper presents an iris ageing analysis based on comparison results obtained for three different iris matchers (two of them have not been used earlier in works devoted to iris template ageing). For the purpose of this research we collected an iris ageing 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 (depending on the coding method, we obtained from 3% to 14% of degradation of the average genuine scores). As the highest degradation of matching scores was observed for the most accurate matcher, this may su ggest that the iris pattern ages to some extent. This work answers the call for iris ageing-related experiments, presently not numerous due to serious difficulties with collection of sufficiently large databases suitable for ageing research, and limited access to adequate number of iris matchers. (More)

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Paper citation in several formats:
Czajka, A. (2013). Template Ageing in Iris Recognition.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 70-78. DOI: 10.5220/0004245800700078

@conference{biosignals13,
author={Adam Czajka.},
title={Template Ageing in Iris Recognition},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={70-78},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004245800700078},
isbn={978-989-8565-36-5},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Template Ageing in Iris Recognition
SN - 978-989-8565-36-5
AU - Czajka, A.
PY - 2013
SP - 70
EP - 78
DO - 10.5220/0004245800700078

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