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Retinal Verification Using a Feature Points-Based Biometric Pattern

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.

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Correspondence to M. Ortega.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Ortega, M., Penedo, M.G., Rouco, J. et al. Retinal Verification Using a Feature Points-Based Biometric Pattern. EURASIP J. Adv. Signal Process. 2009, 235746 (2009). https://doi.org/10.1155/2009/235746

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Keywords

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