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The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance | IEEE Journals & Magazine | IEEE Xplore

The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance


Abstract:

The iris is regarded as one of the most useful traits for biometric recognition and the dissemination of nationwide iris-based recognition systems is imminent. However, c...Show More

Abstract:

The iris is regarded as one of the most useful traits for biometric recognition and the dissemination of nationwide iris-based recognition systems is imminent. However, currently deployed systems rely on heavy imaging constraints to capture near infrared images with enough quality. Also, all of the publicly available iris image databases contain data correspondent to such imaging constraints and therefore are exclusively suitable to evaluate methods thought to operate on these type of environments. The main purpose of this paper is to announce the availability of the UBIRIS.v2 database, a multisession iris images database which singularly contains data captured in the visible wavelength, at-a-distance (between four and eight meters) and on on-the-move. This database is freely available for researchers concerned about visible wavelength iris recognition and will be useful in accessing the feasibility and specifying the constraints of this type of biometric recognition.
Page(s): 1529 - 1535
Date of Publication: 17 April 2009

ISSN Information:

PubMed ID: 20558882

1 Introduction

The idea of using the iris texture to discriminate between individuals came from Bertillon and is over 100 years old. In 1987, Flom and Safir obtained the first patent for an automated iris recognition process, and few years later, Daugman published a method that is the basis of near all of the currently deployed systems. Due to favorable comparisons with other biometric traits, the popularity of the iris has grown considerably over recent years and substantial attention has been paid by both commercial and governmental organizations. Nationwide applications are starting to be deployed (e.g., border control in the United Kingdom

http://www.ukba.homeoffice.gov.uk/managingborders/technology/iris/.

and United Arab Emirates

http://portal.acm.org/citation.cfm?id=1347658.

). These large applications are regarded as a grand challenge for the pattern recognition community. As an illustration, over 50 percent of the publications cited in a recent iris recognition survey [3] were published since 2005.

References

References is not available for this document.