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Departamento
de Inform?ica da Universidade da Beira Interior |
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Contact: SOCIA Lab. - Soft Computing and Image
Analysis Group Department of Computer Science, University of Beira
Interior, 6201-001 Covilhã Portugal |
UBIRIS Noisy Visible Wavelength Iris Image Databases News: -
November
24th, 2009: Springer Signal, Image and Video Processing
Journal, Special Issue on “Unconstrained
Biometrics: Advances and Trends”, scheduled for publication in the first
issue of 2011. Call for papers: [pdf] -
October
15th, 2009: Call for participations in the NICE:II contest.
Please see further details at the contest webpage: http://nice2.di.ubi.pt -
March
6th, 2008: New version of the UBIRIS web site on-line. Within the biometrics context, the
iris is commonly accepted as one of the most accurate biometric traits and
has been successfully applied in such distinct domains as airport check-in or
refugee control. However, for the sake of accuracy, present iris recognition
systems require that subjects stand close (less than two meters) to the
imaging camera and look for a period of about three seconds until the data is
captured. This cooperative behavior is required to capture images with enough
quality for the recognition task. However, it simultaneously restricts the
range of domains where iris recognition can be applied, especially those
where the subjects cooperation is not expectable (e.g., criminal/terrorist
seek, missing children). The main focus of the UBIRIS database
is to minimize the requirement of user cooperation, i.e., the analysis and
proposal of methods for the automatic recognition of individuals, using
images of their iris captured at-a-distance and minimizing the required
degree of cooperation from the users, probably even in the covert mode. The UBIRIS database has two distinct
versions: - UBIRIS.v1 - This version of the database is
composed of 1 877 images collected from 241 eyes during September, 2004 in
two distinct sessions. It simulates less constrained imaging conditions.
It is public and free available. In order to access the database, it must be
sent an email to one of the authors asking for the password of the ?zip?
file.
- UBIRIS.v2 - The second version of the UBIRIS
database has over 11 000 images (and continuously growing) and more realistic
noise factors. Images were actually captured at-a-distance and on-the-move.
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