UBIRIS: a noisy iris image database

Authors:
Hugo Proença;Luís A. Alexandre
Affiliations:
Dep. Informatics, Universidade da Beira Interior, IT – Networks and Multimedia Group, Covilhã, Covilhã, Portugal;Dep. Informatics, Universidade da Beira Interior, IT – Networks and Multimedia Group, Covilhã, Covilhã, Portugal
Venue:
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Year:
2005

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Abstract

This paper presents a new iris database that contains images with noise. This is in contrast with the existing databases, that are noise free. UBIRIS is a tool for the development of robust iris recognition algorithms for biometric proposes. We present a detailed description of the many characteristics of UBIRIS and a comparison of several image segmentation approaches used in the current iris segmentation methods where it is evident their small tolerance to noisy images.