Departamento de Inform?ica da Universidade da Beira Interior

















Registered Users










SOCIA Lab. - Soft Computing and Image Analysis Group 

Department of Computer Science, University of Beira Interior, 6201-001 Covilhã Portugal
Contador de Visitas 




Noisy Visible Wavelength Iris Image Databases




08-05-2018: We are pleased to inform that the "SOCIA Lab. - Soft Computing and Image Analysis Group" at the University of Beira Interior (Portugal) is offering three research grant positions, in the scope of the research project “BIO-DI: Biometrics and Detection of Incidents in Urban Environments”, funded by the "FEDER, Fundo de Coesão e Fundo Social Europeu" under the “PT2020  - Portugal 2020” program, “IT: Instituto de Telecomunicações” and “TOMI: City’s Best Friend”.

The research grants are given initially for 12 months, renewed for (at least) other 12 months. The net salary is of: 745€/month ($884) for B.Sc/B.Eng. or 980€/month ($1.163) for M.Sc./M.Eng.

Applications from graduated or Masters in Informatics, Computer Science, Electrical Engineering, Mathematics or related fields are accepted, preferably from researchers with expertise in the Computer Vision, Pattern Recognition, Image Processing and Biometrics domains.

Solid programming skills in C++, MATLAB® and Python languages is also a requirement.

Applications from students interested in pursuing a M.Sc. or Ph.D. in Portugal are privileged.

The research should be conducted at the University of Beira Interior, Covilhã, under the supervision of Hugo Proença (

In order to apply, please send a motivation letter and a short curriculum vitae to

We look forward to receive your application!





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.














DI-UBI Bloco VI Rua Marqu? de ?vila e Bolama P- 6201-001 Covilh?PORTUGAL