A single modality score is generated for each of a plurality of biometric modalities 110. A classifier is selected from a database 130 of multi-modal classifiers, and a multi-modal fusion 125 is applied to the single modality scores using the classifier. The single modality scores are then aggregated. A context dependent model 135 is generated, and a measure of the context in which the biometric samples were obtained is applied 140 to the aggregated single modality scores. It is then determined whether there is a match 145 between two or more biometric samples. Keywords: social network, Bayesian conditional random field (BCRF), context aware multimodal fusion, leverage data, leverage dependencies, gallery, galleries, probe, machine learning, PCA, soft biometric trait, combined face and iris recognition, contextual observation surveillance camera, weighted edges.
System and method for multi-model biometrics