ON SOLUTION OF SMALL SAMPLE SIZE PROBLEM WITH LINEAR DISCRIMINANT ANALYSIS IN FACE RECOGNITION
Effectiveness of linear discriminant analysis of face recognition in case of small sample size is described. For computing of discriminant components is offered to use the generalized method of Jacobi that allows not to lose discriminant information. The efficiency of proposed approach is demonstrated by experimental researches with ORL database.