A survey of image registration techniques
ACM Computing Surveys (CSUR)
Evaluation of Methods for Ridge and Valley Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multilocal creaseness based on the level-set extrinsic curvature
Computer Vision and Image Understanding - Special issue on analysis of volumetric image
A robust two step approach for fingerprint identification
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Fingerprint Matching Using an Orientation-Based Minutia Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Personal authentication using digital retinal images
Pattern Analysis & Applications
Entropy of the Retina Template
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Characterisation of Retinal Feature Points Applied to a Biometric System
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
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Biometrics refer to identity verification of individuals based on some physiologic or behavioural characteristics (face, fingerprint, signature...). 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 authorized user obtaining a similarity value between patterns. If that similarity is bigger than some threshold the authentication is accepted, otherwise is rejected. Thus, the similarity metrics determine the system ability to successfully classify authentications as authorized or unauthorized. In this work, an analysis of similarity metrics performance is presented for a biometric system in which retinal vessel feature points are used as biometric pattern. The results of the system allow to establish a confidence band for the metric threshold where no errors are obtained for training and test sets.