A Novel Study on Face Recognition Algorithms and its Challenges

Abstract

Face recognition system is an application of computer vision and Image processing which is capable of performing two major tasks of identifying and verifying a person from an image or a video database. The human face is a complicated multidimensional model and it needs a sturdy recognition technique to recognize a human face. The face recognition accuracy is depends on two procedure which are human face detection and a feature extraction method. Many of face recognition feature extraction techniques are used to recognize the face but it needs more enhancements acquire to get optimum outcome. This paper majorly concentrates on comparative study between PCA (Principal Component Analysis), LDA (Linear Discriminant Analysis), Clustering and SVM (Support Vector Machine) algorithms.