This paper is proposed the face recognition technologies and techniques. Face recognition has been a fast growing, challenging and interesting area in real time applications. A large number of face recognition algorithms have been developed in last several years, the methods are PCA, LDA, ICA, SVM, ANN for recognition and various hybrid combination of this techniques. This review investigates all these methods with parameters that challenges face recognition like pose variation, facial expressions.
Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Face Recognition, Independent, Component Analysis (ICA), Artificial Neural Networks (ANN), Dot Net Framework 4.0(.NET), C# language , EmguCV, SQL Server 2008 R2.