Spectaculars face classification by using locality preserving projections

Face recognition and feature detection plays a vital role in various applications such as human computer interaction, face tracking, video surveillance and face recognition. Efficient face recognition algorithms are required for applying to those tasks. Recently face recognition is attracting a big attention in the social application and also authentication. Face recognition makes hackers virtually impossible to break one´s “password”, but also increases the user- friendliness in human-computer interaction. Face recognition systems are now refill the need for security. The face recognition system is proving to be very efficient security in the system authentication. Face recognition technology has to perform for identify the face recognition. To verify it for authentication claims. By advancing future extraction methods and dimensionality reduction methods in the application and number of face the feature recognition systems has been developed with distinct degrees of success. Recent researches show that high dimensional face images lie on or close to a low dimensional manifold. But LPP is a widely used manifold reduced dimensionality technique.LPP preserve the local structure of face image space which is usually more significant than the global structure preserved by principal component analysis (PCA) and linear Discriminant analysis (LDA). A Graphical User Interface (GUI) has been implemented to show various aspects of locality preserving projection.