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Uni cation of Evidence Theoretic Fusion Algorithms A Case Study in Level 2 and Level 3 Fingerprint Features Book PDF Summary

This paper formulates an evidence-theoretic multimodal unification approach using belief functions that takes into account the variability in biometric image characteristics. While processing non-ideal images the variation in the quality of features at different levels of abstraction may cause individual classifiers to generate conflicting genuine-impostor decisions. Existing fusion approaches are non-adaptive and do not always guarantee optimum performance improvements.

Detail Book of Uni cation of Evidence Theoretic Fusion Algorithms A Case Study in Level 2 and Level 3 Fingerprint Features PDF

Uni   cation of Evidence Theoretic Fusion Algorithms  A Case Study in Level 2 and Level 3 Fingerprint Features
  • Author : Mayank Vatsa
  • Release : 22 September 2024
  • Publisher : Infinite Study
  • ISBN : 978186723xxxx
  • Genre : Uncategoriezed
  • Total Page : 12 pages
  • Language : English
  • PDF File Size : 18,6 Mb

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