Robust Iris Localisation in Challenging Scenarios

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Monteiro, JC (Autor) Outra; Sequeira, AF (Autor) Outra; Oliveira, HP (Autor) FEUP; Cardoso, JS (Autor) FEUP

Ata de Conferência Internacional

Título: Computer Vision, Imaging and Computer Graphics - Theory and Applications - International Joint Conference, VISIGRAPP 2013, Barcelona, Spain, February 21-24, 2013, Revised Selected Papers

Páginas: 146-162

Indexação

ISI Web of Knowledge

Scopus - 5 Citações

Outras Informações

ID Authenticus: P-009-XCF

DOI: 10.1007/978-3-662-44911-0_10

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 16