Face image detection methods: A survey

Abstract

Face detection is an important part of face recognition systems. In this paper, we presented various methods of face detection, which are commonly used. These methods are local binary pattern (LBP), Adaboost, support vector machine (SVM), principal component analysis (PCA), hidden Markov model (HMM), neural network-based face detection, Haar classifier, and skin color models. Each method is summarized along with their advantages and disadvantages.