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  • Research Article
  • Open Access

Retinal Verification Using a Feature Points-Based Biometric Pattern

  • 1Email author,
  • 1,
  • 1,
  • 1 and
  • 2
EURASIP Journal on Advances in Signal Processing20092009:235746

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

  • Received: 14 October 2008
  • Accepted: 12 February 2009
  • Published:

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

  • Retina
  • Feature Point
  • Metrics Performance
  • Retina Image
  • Real Environment

Publisher note

To access the full article, please see PDF.

Authors’ Affiliations

(1)
VARPA Group, Faculty of Informatics, Department of Computer Science, University of Coruña, 15071 A Coruña, Spain
(2)
Department of Electronics and Computer Science, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain

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