Robust Iris Localisation in Challenging Scenarios

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Monteiro, JC (Author) Other; Sequeira, AF (Author) Other; Oliveira, HP (Author) FEUP; Cardoso, JS (Author) FEUP

Conference proceedings International

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

Pages: 146-162

Indexing

ISI Web of Knowledge

Scopus - 5 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 16