Global and Local Classifiers for Face Recognition
Face recognition means checking for the presence of a face from a database that contains many faces. The face images considered for recognition undergo large variations due to changes in illumination conditions, viewing direction, facial expression and aging etc. The face images have similar geometrical features and hence discriminating one face from the other in the database is a challenging task. Global and Local features are crucial for face recognition. In the proposed method, both the global and local features are extracted from the input face images. Global features are the holistically structural configuration of facial organs, as well as facial contour. Global Features are extracted from whole face images by keeping the low frequency coefficients of Fourier Transform.