Patent Document ID: 20050238207
Application ID: 10831374
Patent Status: 0

Claim One:
1. A biometric verification system, comprising: a) a verification engine for verifying an identity of a subject, comprising: i) a plurality of discriminators for analyzing biometric inputs of a subject in question to generate a plurality of distortion scores, the biometric inputs comprising biometric inputs for a plurality of biometric sets, each discriminator analyzing the biometric inputs of an associated biometric set, each biometric set being associated with a corresponding portion of the distortion scores; ii) a discriminator fusion component for analyzing the distortion scores of the discriminators utilizing a plurality of reference user models and a reliability ranking of the discriminators to obtain a combined confidence score for the biometric sets of the subject in question; iii) a subset fusion component for analyzing the distortion scores of at least one discriminator for a plurality of biometric subsets of the biometric set associated with the at least one discriminator utilizing subset selection criteria to generate a combined confidence score for biometric subsets of the subject in question; and iv), logic for determining whether to accept the subject in question as a genuine subject based on the combined confidence scores; and b) a training engine for training at least one discriminator, comprising: i) training data for the biometric set associated with the at least one discriminator, the at least one discriminator analyzing the training data to generate a plurality of training distortion scores, the biometric set associated with the at least one discriminator comprising a plurality of biometric subsets, each of the biometric subsets having a portion of the training data associated therewith so that each biometric subset is associated with a corresponding portion of the training distortion scores; ii) a score analyzer for analyzing the training distortion scores to generate reference user models for each of the biometric subsets and the biometric set of the at least one discriminator; iii) a subset priority analyzer for analyzing the training distortion scores and reference user models generated by the score analyzer to develop subset selection criteria for the biometric subsets associated with the at least one discriminator; and iv) a model analyzer for analyzing the reference user models generated by the score analyzer and the subset selection criteria generated by the subset priority analyzer to characterize the reliability of the at least one discriminator.