loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: João C. Monteiro ; Hélder P. Oliveira ; Ana F. Sequeira and Jaime S. Cardoso

Affiliation: Universidade do Porto, Portugal

ISBN: 978-989-8565-47-1

Keyword(s): Biometrics, Iris Segmentation, Unconstrained Environment, Gradient Flow, Shortest Closed Path.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: The rising challenges in the field of iris recognition, concerning the development of accurate recognition algorithms using images acquired under an unconstrained set of conditions, is leading to the a renewed interest in the area. Although several works already report excellent recognition rates, these values are obtained by acquiring images in very controlled environments. The use of such systems in daily security activities, such as airport security and bank account management, is therefore hindered by the inherent unconstrained nature under which images are to be acquired. The proposed work focused on mutual context information from iris centre and iris limbic contour to perform robust and accurate iris segmentation in noisy images. A random subset of the UBIRIS.v2 database was tested with a promising E1 classification rate of 0.0109.

PDF ImageFull Text

Download
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 54.234.227.202

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:
Monteiro, J.; Monteiro, J.; Oliveira, H.; Sequeira, A. and Cardoso, J. (2013). Robust Iris Segmentation under Unconstrained Settings.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 180-190. DOI: 10.5220/0004281701800190

@conference{visapp13,
author={João C. Monteiro. and João C. Monteiro. and Hélder P. Oliveira. and Ana F. Sequeira. and Jaime S. Cardoso.},
title={Robust Iris Segmentation under Unconstrained Settings},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={180-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004281701800190},
isbn={978-989-8565-47-1},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Robust Iris Segmentation under Unconstrained Settings
SN - 978-989-8565-47-1
AU - Monteiro, J.
AU - Monteiro, J.
AU - Oliveira, H.
AU - Sequeira, A.
AU - Cardoso, J.
PY - 2013
SP - 180
EP - 190
DO - 10.5220/0004281701800190

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.