Personal authentication based on feature extraction and optic nerve location in digital retinal images

摘要

Authentication methods based on biometric parameters are gaining importance over the years. But they require fast and robust image processing techniques to perform this task. 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 vessel tree. 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 useful for the authentication procedure.