Implementation of the Optimized Dual Fingerprint Algorithm for Protecting Privacy Information

Abstract

The electromagnetic spectrum (EM) is made up of a variety of wavelengths, but the only wavelength that can be seen by the human visual system (HVS) is the visible wavelength, which is also referred to as the digital image processing (DIP) wavelength. The visible wavelength is also known as the visible light spectrum (VLS). The DIP is a component of the signal processing, but the HVS is unable to see the other elements of the signal if the DIP is not there. This is because the HVS requires a digital screen in order to see them, which is an application of the DIP. Through the implementation of digitalization applications in a variety of study domains, the DIP transforms the current world into a center for technological innovation. In today's society, security is of the highest importance, and biometrics-based systems have gained appeal over conventional ones because to their simplicity of use, resilience, and accuracy. Biometrics-based systems are becoming more popular. In this research, a unique combinational manner-based security solution is provided by combining the two fingerprints and taking into account their distinct orientations and minute details. This approach is made possible by taking into mind the minutiae involved. The creation of a fingerprint template that is identical to the original fingerprint included taking elements from two separate fingerprints and combining them. The information is protected against theft using the suggested template, which also demonstrates a low error rate (FRR = 0.4% at FAR = 0.1%) when compared to conventional methods (FAR = 0.1%). In conclusion, as compared to traditional approaches, the suggested method possesses a superior virtual identity, which demonstrates positive outcomes when defending against incidental and inadvertent attacks.