Adaptive Multimodal Biometric Fusion Algorithm Using Particle Swarm Optimization And Belief Functions

L. Mezai, F. Hachouf
2018 Zenodo  
In this paper, an adaptive multimodal biometric fusion algorithm is proposed. It is based on belief functions and Particle Swarm Optimization (PSO). The fusion is performed at the score level using belief functions such as Dempster Shafer, Yager, Proportional Conflict Redistribution and Dezert-Smarandache hybrid rules.
doi:10.5281/zenodo.1412397 fatcat:6sclkqf47zhovi52vkdn22ge3a