loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

Affiliation: Instituto Superior de Engenharia de Lisboa, Portugal

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 fa ster than the one proposed by Daugman. Our fast pre-processing algorithms efficiently remove reflections on images taken by non infra-red cameras. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.238.62.124

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (BIOSTEC 2009) - BIOSIGNALS; ISBN 978-989-8111-65-4; ISSN 2184-4305, SciTePress, 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 (BIOSTEC 2009) - BIOSIGNALS},
year={2009},
pages={72-79},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001536100720079},
isbn={978-989-8111-65-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS
TI - MODIFICATIONS AND IMPROVEMENTS ON IRIS RECOGNITION
SN - 978-989-8111-65-4
IS - 2184-4305
AU - Ferreira, A.
AU - Lourenço, A.
AU - Pinto, B.
AU - Tendeiro, J.
PY - 2009
SP - 72
EP - 79
DO - 10.5220/0001536100720079
PB - SciTePress