Adaptive Multimodal Biometric Fusion Algorithm Using Particle Swarm Export

@misc{citeulike:1476819, abstract = {This paper introduces a new algorithm called \"Adaptive Multimodal Biometric Fusion Algorithm\"(AMBF), which is a combination of Bayesian decision fusion and particle swarm optimization. A Bayesian framework is implemented to fuse decisions received from multiple biometric sensors. The system's accuracy improves for a subset of decision fusion rules. The optimal rule is a function of the error cost and a priori probability of an intruder. This Bayesian framework formalizes the design of a system...}, author = {Veeramachaneni, K. and Osadciw, L. and Varshney, P.}, citeulike-article-id = {1476819}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.3889}, keywords = {bayesian, fusion, multimodal, verification}, posted-at = {2007-07-24 14:08:19}, priority = {2}, title = {Adaptive Multimodal Biometric Fusion Algorithm Using Particle Swarm}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.3889}, year = {2003} }

TY - GEN ID - citeulike:1476819 L3 - citeulike-article-id:1476819 N2 - This paper introduces a new algorithm called "Adaptive Multimodal Biometric Fusion Algorithm"(AMBF), which is a combination of Bayesian decision fusion and particle swarm optimization. A Bayesian framework is implemented to fuse decisions received from multiple biometric sensors. The system's accuracy improves for a subset of decision fusion rules. The optimal rule is a function of the error cost and a priori probability of an intruder. This Bayesian framework formalizes the design of a system... TI - Adaptive Multimodal Biometric Fusion Algorithm Using Particle Swarm KW - bayesian KW - fusion KW - multimodal KW - verification AU - Veeramachaneni, K AU - Osadciw, L AU - Varshney, P PY - 2003/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.3889 ER -