A Comparative Study of Sequence of Multiple Fingerprints for Secured Authentication

Smartphones are becoming increasingly prevalent and most of them use fingerprint recognition to authenticate any application, from financial transactions to login. Imposters are attacking single fingerprint template quite easily. So, next security level for smartphones needs to be implemented in order to strengthen existing method. One such method is implemented by employing Sequence of Multiple Fingerprints (SMF). This paper presents a lightweight, cost-effective application based sequential fingerprint authentication technique when compared with other modern techniques. The proposed system is designed for environments with limited computational resources, offering enhanced security and efficiency. Unlike traditional single-fingerprint authentication methods, our algorithm employs sequential fingerprint input for improved accuracy and robustness. Experimental results demonstrate a low False Acceptance Rate (FAR) of 0.5%–3% and a False Rejection Rate (FRR) of 1.8%–5%, with significantly reduced execution costs and processing times compared to existing methods. The system is ideal for Smartphones, IoT applications, including access control and smart lock systems, where lightweight and scalable solutions are essential.