Skip to main content
Conference ProceedingsOPEN ACCESS

UBIRIS: A noisy iris image database

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2005) 3617 LNCS 970-977
DOI: 10.1007/11553595_119
400Citations
Citations of this article
105Readers
Mendeley users who have this article in their library.

This article is free to access.

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. © Springer-Verlag Berlin Heidelberg 2005.

Cite

CITATION STYLE

APA

Proença, H., & Alexandre, L. A. (2005). UBIRIS: A noisy iris image database. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3617 LNCS, pp. 970–977). Springer Verlag. https://doi.org/10.1007/11553595_119

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free