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Retinal biometry for human recognition

By Eva Sikorová


This master thesis deals with recognition of a person by comparing symptom sets extracted from images of the retinal vessels pattern. The first part includes the insight into biometric issues, the punctual analysis of human identification using retina images, and especially the literature research of methods of extraction and comparison. In the practical part there were realized algorithms for human identification with the method of nearest neighbor search (NS), translation, template matching (TM) and extended NS and TM including more symptoms, for which MATLAB program was used. The thesis includes testing of suggested programs on the biometric database of symptomatic vectors with the following evaluation

Topics: srovnávací metriky; sítnice; Human recognition; Retina; vektor příznaků; Feature extraction; Similarity measure; rozpoznávání osob; extrakce příznaků; Biometrie; Biometrics; Feature vector
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Year: 2015
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