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.

Keywords

• neutrosophic computer vision
• neutrosophic image processing
• neutrosophic correlation
• fingerprint image matching
• neutrosophic biometric