Dual-Fingerprint Biometric Authentication System

Abstract

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.