A method and a system for recognizing a face with a linear projection-based ICA having class-specific information are provided to improve sensitiveness and low recognition performance for big changes such as lighting and facial expression by using the linear projection-based ICA, which has class discrimination ability and is independent of statistics. Compressed sub images are obtained by performing 2D(Dimensional) wavelet decomposition to a raw face image and using a low frequency band filter(S108). Feature vector and eigenvector, which are components of the face image, are found by applying a PCA(Principal Component Analysis) to the sub images(S114). Two systematic structures using a basis image expression method and a factorial code expression method are constructed by applying the ICA to the components(S124). Face recognition is performed by performing FLD(Fisher Linear Discriminant) having class discrimination ability and the class-specific information to two structures(S130).
Face recognition method using linear projection-based ICA with class-specific information and system thereof