Robust iris localisation in challenging scenarios Monteiro,JC en Sequeira,AF en Hélder Filipe Oliveira en Jaime Cardoso en 2017-11-20T10:43:33Z 2017-11-20T10:43:33Z 2014 en
dc.description.abstract The use of images acquired in unconstrained scenarios is giving rise to new challenges in the field of iris recognition. Many works in literature reported excellent results in both iris segmentation and recognition but mostly with images acquired in controlled conditions. The intention to broaden the field of application of iris recognition, such as airport security or personal identification in mobile devices, is therefore hindered by the inherent unconstrained nature under which images are to be acquired. The proposed work focuses on mutual context information from iris centre and iris limbic and pupillary contours to perform robust and accurate iris segmentation in noisy images. The developed algorithm was tested on the MobBIO database with a promising 96% segmentation accuracy for the limbic contour. en
dc.identifier.uri en
dc.language eng en
dc.relation 5075 en
dc.relation 3889 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Robust iris localisation in challenging scenarios en
dc.type article en
dc.type Publication en