Open Access

Retinal Verification Using a Feature Points-Based Biometric Pattern

  • M. Ortega1Email author,
  • M. G. Penedo1,
  • J. Rouco1,
  • N. Barreira1 and
  • M. J. Carreira2
EURASIP Journal on Advances in Signal Processing20092009:235746

https://doi.org/10.1155/2009/235746

Received: 14 October 2008

Accepted: 12 February 2009

Published: 25 March 2009

Abstract

Biometrics refer to identity verification of individuals based on some physiologic or behavioural characteristics. The typical authentication process of a person consists in extracting a biometric pattern of him/her and matching it with the stored pattern for the authorised user obtaining a similarity value between patterns. In this work an efficient method for persons authentication is showed. The biometric pattern of the system is a set of feature points representing landmarks in the retinal vessel tree. The pattern extraction and matching is described. Also, a deep analysis of similarity metrics performance is presented for the biometric system. A database with samples of retina images from users on different moments of time is used, thus simulating a hard and real environment of verification. Even in this scenario, the system allows to establish a wide confidence band for the metric threshold where no errors are obtained for training and test sets.

Keywords

RetinaFeature PointMetrics PerformanceRetina ImageReal Environment

Publisher note

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Authors’ Affiliations

(1)
VARPA Group, Faculty of Informatics, Department of Computer Science, University of Coruña, Coruña, Spain
(2)
Department of Electronics and Computer Science, University of Santiago de Compostela, Santiago de Compostela, Spain

Copyright

© M. Ortega et al. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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