Departamento de Inform?ica da Universidade da Beira Interior


 

 

 

 

 

 

 

 

 

 

 

 

 

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UBIRIS.v1

UBIRIS.v2 

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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

hugomcp@di.ubi.pt

lfbaa@di.ubi.pt

 

http://www2.clustrmaps.com/stats/maps-no_clusters/iris.di.ubi.pt-thumb.jpg
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UBIRIS

Noisy Visible Wavelength Iris Image Databases

 

News:

 

-      March 10th, 2011: The SOCIA Lab. -  Soft Computing and Image Analysis Group of the University of Beira Interior is offering two research grant positions, in the scope of the research project PTDC/EIA- EIA/103945/2008, funded by the Portuguese Fundação para a Ciência e a Tecnologia (FCT), entitled “NECOVID: Covert Negative Biometric Identification”. Please, see the edicts here: [pdf]  and  [pdf]  

 

-      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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