Retinal verification using a feature points-based biometric pattern

Authors:
M. Ortega;M. G. Penedo;J. Rouco;N. Barreira;M. J. Carreira
Affiliations:
VARPA Group, Faculty of Informatics, Department of Computer Science, University of Coruña, Coruña, Spain;VARPA Group, Faculty of Informatics, Department of Computer Science, University of Coruña, Coruña, Spain;VARPA Group, Faculty of Informatics, Department of Computer Science, University of Coruña, Coruña, Spain;VARPA Group, Faculty of Informatics, Department of Computer Science, University of Coruña, Coruña, Spain;Department of Electronics and Computer Science, University of Santiago de Compostela, Santiago de Compostela, Spain
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Year:
2009

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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.