A twin prediction method using facial recognition feature

Abstract

The high similarity between identical twin is known to be a great challenge for Face Recognition Technology. As Face Recognition Technology handles identification and the verification of identity claim of a person, it is really important to have a method which can overcome identical twin problem. In this research, we try to demonstrate a model which can predict and compare identical twin. In this method, we used histogram, RGB colors to find the best criteria for matching for initial stage. Later, we used GLCM technology which measure the texture analysis of the images where some parameters are being used for calculation. After the analysis, we delivered a conclusion based on our results we found.