A Hybrid Equation (EHFM) for Face Recognition: Comparison with Statistical Technique

Face Recognition Technique: Comparison with Statistical Recognition

Abstract

In this research we propose a novel equation (technique) for face recognition. Face recognition is very important task in digital image processing (image similarity), which have many applications in security, biometrics, social media, and entertainment. However, that task is still challenging and limited by several factors. The new technique, we call it, a hybrid equation (EHFM), which has been tested versus the famous measure (SSIM). Face recognition via (EHFM) is depend on a test (reference) image and images of database. The new propose mathematical equation (EHFM) is performed by MATLAB R2020a using the very famous database AT&T images, we chose eight subjects and ten views (poses) per subject with various facial expressions. The essential  goal of this our new idea is to introduce more accuracy equation (technique) good for face recognition technique that can be perform in real-time environment. Performance of new our proposed (EHFM) equation for face recognition, which is proved experimentally, also it is evidenced to outperform the (SSIM) statistical-based and famous face recognition.