Neutrosophic-based correlation analysis for fingerprint image pattern recognition and matching

Abstract

A sophisticated mathematical model known as neurosophic extends the vague concept to tackle
real-world issues and applications. The neutrosophic connection of the image can be harnessed to ascertain
its correlation pattern. This paper aims to employ the neutrosophic method for detecting correlations among
fingerprint images using neutrosophic-based pattern analysis. Additionally, it will propose four strategies for
identifying relationships within image data by employing the neutrosophic approach. The study explores the
four fundamental forms of fingerprint images and experiments with various α values. An α value of 0.99 or
higher is favored for image matching.