Deep Learning-Based Fingerprint–Vein Biometric Fusion: A Systematic Review with Empirical Evaluation

User authentication is crucial for safeguarding access to digital systems and services. Biometric authentication serves as a strong and user-friendly alternative to conventional security methods such as passwords and PINs, which are often susceptible to breaches. This study proposes a deep learning-...

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Vydáno v:	Applied sciences Ročník 15; číslo 15; s. 8502
Hlavní autoři:	Almuwayziri, Sarah, Al-Nafjan, Abeer, Aljumah, Hessah, Aldayel, Mashael
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.08.2025
Témata:	Access control Access to information Accuracy Algorithms biometric authentication Biometric identification Biometrics Biometry Business metrics Classification convolutional neural network Datasets Deep learning finger vein fingerprint Forgery Literature reviews Machine learning multimodal fusion Neural networks Performance evaluation Safety and security measures Systematic review Systems and data security software
ISSN:	2076-3417, 2076-3417
On-line přístup:	Získat plný text
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