Artur Ferreira, André Lourenço, Bárbara Pinto, Jorge Tendeiro



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 faster than the one proposed by Daugman. Our fast pre-processing algorithms efficiently remove reflections on images taken by non infra-red cameras.


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Paper Citation

in Harvard Style

Ferreira A., Lourenço A., Pinto B. and Tendeiro J. (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

in Bibtex Style

author={Artur Ferreira and André Lourenço and Bárbara Pinto and Jorge Tendeiro},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},

in EndNote Style

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
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