Robust Iris Segmentation under Unconstrained Settings

Thumbnail Image
Date
2013
Authors
Monteiro,JC
Hélder Filipe Oliveira
Sequeira,AF
Jaime Cardoso
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
Keywords
Citation