An Investigation on the Use of LBPH Algorithm for Face Recognition to Find Missing People in Zimbabwe

Abstract

Face recognition is one of the challenging problem in the Computer Vision industry. Many algorithms have been developed to address the issue of facial recognition during the last thirty years. Algorithms based on LDA, PCA, ICA and Artificial Neural Networks have been used to try to address the issue of face recognition. Facial recognition algorithms are affected by illumination thus variation in lighting as well as pose variation. As a result, hybrid methods have been developed which uses a combination of two algorithms. Face Recognition has been greatly used to develop security systems as well as surveillance systems to keep track fraud and criminal activities. In this paper, the researcher used the LBPH (Local Binary Patterns Histograms) algorithm to produce a prototype of a system that will find missing people using facial recognition. The major objective of the research is to determine the accuracy of the system as well as the recognition rate.