The robust SmartEnsembleNet: A game changer in finger knuckle biometrics-Reference-Cited by-同舟云学术

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The robust SmartEnsembleNet: A game changer in finger knuckle biometrics

Published:2024-12 Issue: Volume:255 Page:124810
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Fernandez Rufus Rubin Oscar^ORCID,Sreehari S.^ORCID,Anzar S.M.^ORCID

Publisher

Elsevier BV

Reference47 articles.

1. An efficient PSO optimized integration weight estimation using d-prime statistics for a multibiometric system;Anzar;International Journal on Bioinformatics and Biosciences,2012

2. Anzar, S. M., & Sathidevi, P. S. (2012b). Multi-normalization: a new method for improving biometric fusion. In Proceedings of the international conference on advances in computing, communications and informatics (pp. 931–937). http://dx.doi.org/10.1145/2345396.2345546.

3. FKPIndexNet: An efficient learning framework for finger-knuckle-print database indexing to boost identification;Arora;Knowledge-Based Systems,2022

4. Feature-level fusion of major and minor dorsal finger knuckle patterns for person authentication;Attia;Signal, Image and Video Processing,2021

5. Deep learning-driven palmprint and finger knuckle pattern-based multimodal person recognition system;Attia;Multimedia Tools and Applications,2022

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