A Hybrid Deep Learning Approach for Secure Biometric Authentication Using Fingerprint Data

A Hybrid Deep Learning Approach for Secure Biometric Authentication Using Fingerprint Data

Despite significant advancements in fingerprint-based authentication, existing models still suffer from challenges such as high false acceptance and rejection rates, computational inefficiency, and vulnerability to spoofing attacks. Addressing these limitations is crucial for ensuring reliable biome...

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Bibliographic Details
Main Authors: Abdulrahman Hussian, Foud Murshed, Mohammed Nasser Alandoli, Ghalib Aljafari
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Computers
Subjects:
deep learning
hybrid model
CNN
LSTM
fingerprint recognition
biometric security
Online Access:https://www.mdpi.com/2073-431X/14/5/178
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