1. A method of performing multi-biometric fusion, comprising: configuring a Bayesian Belief Network (BBN) biometric fusion engine to receive biometric scoring and quality information regarding one or more subjects; computing parametric statistical conditional distributions corresponding to said biometric and quality information received by said BBN; computing, using said BBN, a probability of match and a global quality estimate for said biometric scoring and quality information based on said computed parametric statistical conditional distributions; and outputting from said BBN said computed probability of match and global quality estimate.