Secure Knuckle Print Authentication: Template Protection and Attack Analysis

Biometric authentication using finger knuckle patterns offers a secure and forgery-resistant alternative for identity verification. Unlike fingerprints or facial recognition, knuckle prints are rarely exposed in daily activities, reducing the risk of unauthorized acquisition and spoofing. This study...

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Hlavní autoři:	U. Sumalatha, K. Krishna Prakasha, Srikanth Prabhu, Vinod C. Nayak
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Biometric authentication DenseNet-121 deep learning finger knuckle print homomorphic encryption privacy-preserving authentication
On-line přístup:	https://ieeexplore.ieee.org/document/11124854/
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