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Authors: Artur Ferreira ; André Lourenço ; Bárbara Pinto and Jorge Tendeiro

Affiliation: Instituto Superior de Engenharia de Lisboa, Portugal

ISBN: 978-989-8111-65-4

Keyword(s): Iris Recognition, Biometrics, Image Processing, Image Segmentation.

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

Abstract: Iris recognition is a well-known biometric technique. John Daugman has proposed a method for iris recognition, which is divided into four steps: segmentation, normalization, feature extraction and matching. In this paper, we evaluate, modify and extend John Daugman’s method. We study the images of CASIA and UBIRIS databases to establish some modifications and extensions on Daugman’s algorithm. The major modification is on the computationally demanding segmentation stage, for which we propose a template matching approach. The extensions on the algorithm address the important issue of pre-processing, that depends on the image database, being especially important when we have a non infra-red red camera (e.g. a WebCam). For this typical scenario, we propose several methods for reflexion removal and pupil enhancement and isolation. The tests, carried out by our C# application on grayscale CASIA and UBIRIS images, show that our template matching based segmentation method is accurate and fas ter than the one proposed by Daugman. Our fast pre-processing algorithms efficiently remove reflections on images taken by non infra-red cameras. (More)

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Paper citation in several formats:
Ferreira A.; Lourenço A.; Pinto B.; Tendeiro J. and (2009). MODIFICATIONS AND IMPROVEMENTS ON IRIS RECOGNITION.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 72-79. DOI: 10.5220/0001536100720079

@conference{biosignals09,
author={Artur Ferreira and André Louren\c{C}o and Bárbara Pinto and Jorge Tendeiro},
title={MODIFICATIONS AND IMPROVEMENTS ON IRIS RECOGNITION},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={72-79},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001536100720079},
isbn={978-989-8111-65-4},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - MODIFICATIONS AND IMPROVEMENTS ON IRIS RECOGNITION
SN - 978-989-8111-65-4
AU - Ferreira, A.
AU - Lourenço, A.
AU - Pinto, B.
AU - Tendeiro, J.
PY - 2009
SP - 72
EP - 79
DO - 10.5220/0001536100720079

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