Dual-Fingerprint Biometric Authentication System
Year: 2025
Type: article
Abstract: This paper explores the effectiveness of dual-fingerprint biometric authentication systems in improving security and accuracy compared to traditional single-fingerprint systems. By combining two distinct fingerprint instances using feature-level and score-level fusion techniques, the system increases entropy, reduces spoofing risks, and enhances overall authentication accuracy. A comprehensive theoretical framework discusses entropy calculations and security modeling, while experimental results from prototype implementation demonstrate the system’s potential. Ethical concerns related to privacy and data security are also addressed, providing a holistic view of dual-fingerprint systems in real-world applications.
Author: Kadam, Valroy Christopher
Institution: University of Mumbai
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893346533
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