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.
Highlights
Reliable authentication of persons is a growing demanding service in many fields, in police or military environments and in civilian applications, such as access control or financial transactions
This paper proposes a biometric system for authentication that uses the retina blood vessel pattern
The results showed a high confidence band in the authentication process but the database included only 6 individuals with 2 images for each of them
Summary
Reliable authentication of persons is a growing demanding service in many fields, in police or military environments and in civilian applications, such as access control or financial transactions. Based on the idea of fingerprint minutiae [4, 16], a robust pattern was first introduced in [17] where a set of landmarks (bifurcations and crossovers of retinal vessel tree) were extracted and used as feature points. In this scenario, the pattern matching problem is reduced to a point pattern matching problem and the similarity metric has to be defined in terms of matched points.
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