Open Access. Powered by Scholars. Published by Universities.®

Medical Biomathematics and Biometrics Commons

Open Access. Powered by Scholars. Published by Universities.®

2003

Bayesian decision fusion

Articles 1 - 1 of 1

Full-Text Articles in Medical Biomathematics and Biometrics

Adaptive Multimodal Biometric Fusion Algorithm Using Particle Swarm, Kalyan Veeramachaneni, Lisa Ann Osadciw, Pramod K. Varshney Jan 2003

Adaptive Multimodal Biometric Fusion Algorithm Using Particle Swarm, Kalyan Veeramachaneni, Lisa Ann Osadciw, Pramod K. Varshney

Electrical Engineering and Computer Science - All Scholarship

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 that can adaptively increase or reduce the security level. Particle swarm optimization searches the decision and sensor operating points (i.e. thresholds) space to achieve the desired …