Biometric authentication using digital retinal images

Authors:
M. Ortega;C. Mariño;M. G. Penedo;M. Blanco;F. González
Affiliations:
Grupo de Visión Artificial y Reconocimiento de Patrones, University of A Coruña, A Coruña, Spain;Grupo de Visión Artificial y Reconocimiento de Patrones, University of A Coruña, A Coruña, Spain;Grupo de Visión Artificial y Reconocimiento de Patrones, University of A Coruña, A Coruña, Spain;Grupo de Visión Artificial y Reconocimiento de Patrones, University of A Coruña, A Coruña, Spain;University of Santiago de Compostela, School of Medicine and Complejo Hospitalario Universitario of Santiago, Santiago de Compostela, Spain
Venue:
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
Year:
2006

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Abstract

In this work an efficient method for the identity verification of persons based on matching digital retinal images is introduced. The matching process works by extracting a set of feature points and registering them to measure the degree of similarity between the input images. The feature points are the ridge endings and ridge bifurcations from vessels obtained from a crease model of the retinal vessels. The method is developed and tested to obtain a good set of feature points. Then, pairs of sets will be matched in order to get an accurate and reliable similarity measure for the authentication procedure.