ROC Curves for Multivariate Biometric Matching Models
نویسندگان
چکیده
The biometric matching problem is a two class (“within” or “between”) classification problem where two types of errors (FRR and FAR) occur. While the receiver operating characteristic or ROC curve, which is a plot of FRR and FAR, can be easily obtained in the simple matching model, it is non-trivial to obtain in the multivariate matching model. Here the problem of obtaining ROC curves for several parametric and nonparametric matchers in a multidimensional case is considered. Graphical decision boundaries are also given for each matcher.
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