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What is Evidence-Theoretic Fusion for Fingerprints about?

This document proposes and evaluates two unification frameworks that dynamically select the optimal evidence-theoretic fusion algorithm to combine match scores from level-2 and level-3 fingerprint features. The frameworks include either rule-based or learning-based selection of the sum rule or DSm fusion algorithms. Experimental results on fingerprints show the proposed unification approaches improve verification accuracy over existing fusion algorithms, even when individual matchers provide conflicting dec

Author

musalmanmusalman

Language

EN