Retinal Biometry for Human Recognition

Abstract

This paper deals with recognition of a person by comparing symptom sets extracted from images of the retinal vessels pattern. In the practical part there were realized algorithms for human identification with the method of nearest neighbor search (NS), extended NS including more symptoms and template matching, for which MATLAB program was used. The work includes testing of suggested programs on the biometric database of symptomatic vectors with the following evaluation.