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Noisy Visible Wavelength Iris Image Databases

Author: University of Beira Interior

Partner: Yes

Contact: SOCIA Lab.: Soft Computing and Image Analysis Group Department of Computer Science, University of Beira Interior, 6201-001 Covilha, Portugal Hugo Proença (hugomcp@di.ubi.pt)

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Description

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. 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. 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.

Access

In order to access the UBIRIS.v1database, it must be sent an email to one of the authors (hugomcp@di.ubi.pt, lfbaa@di.ubi.pt) asking for the password of the zip file. All requests for the UBIRIS.v2 database must be directed (by email) to the following address: hugomcp@di.ubi.pt. Applicants should manually fill, sign, scan and attach the application form to the given email address. Upon receipt of an executed copy of the signed application form, access instructions will be given. Link: http://iris.di.ubi.pt/ubiris2.html

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License

A copy of all reports and papers that use the UBIRIS.v2 database and are for public or general release must be forwarded immediately upon release or publication to the SOCIA Lab. email address: socia@di.ubi.pt.

References and Citation

Please use the following reference when using UBIRIS [PA05]. All documents and papers that report on research that uses the UBIRIS.v2 database must database by including an appropriate citation [PFS2010].

References

  • PA05: Proença, H., Alexandre, L. A. UBIRIS: A noisy iris image database, 13th International Conference on Image Analysis and Processing - ICIAP 2005, Springer, LNCS 3617, pp. 970-977, Cagliari, Italy, September 2005.
  • PFS10: Proença, H., Filipe, S., Santos, R., Oliveira, J., Alexandre, L.A. The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-The-Move and At-A-Distance, IEEE Transactions on Pattern Analysis and Machine Intelligence, August, 2010, volume 32, number 8, pp. 1529-1535, ISSN: 0162-8828.