Match-level fusion of finger-knuckle print and iris for human identity validation using neuro-fuzzy classifier

HIGHLIGHTS

• who: Rohit Srivastava and collaborators from the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India have published the research: Match-Level Fusion of Finger-Knuckle Print and Iris for Human Identity Validation Using Neuro-Fuzzy Classifier, in the Journal: Sensors 2022, 3620 of /2022/
• what: The approach also results in the modification of the proposed multimodal biometric frameworks depends on the parallel approach of False Acceptance Rates (FARs) False Rejection Rates (FRRs) of the existing system in since decreasing error rates was and the fundamental objective . orderThe to provide a genuine . . .
  

   

  

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