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Published in:
2005 | OriginalPaper | Chapter
UBIRIS: A Noisy Iris Image Database
Authors : Hugo Proença, Luís A. Alexandre
Published in: Image Analysis and Processing – ICIAP 2005
Publisher: Springer Berlin Heidelberg
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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.