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

• Published in: Applied sciences Vol. 15; no. 15; p. 8502
• Main Authors: Almuwayziri, Sarah, Al-Nafjan, Abeer, Aljumah, Hessah, Aldayel, Mashael
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2025
• Subjects: 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

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-...