Research of face recognition based on null space kernel discriminant analysis

In view of problem that method of null space linear discriminant analysis is difficult to reveal nonlinear structure of data of face image space, the paper proposed a method of null space kernel discriminant analysis. It introduced derivation process and solving steps of the method in details. Test result shows that the method can extract null space of scatter matrix within class in kernel space and remove null space of scatter matrix inter classes to the utmost extent, the new extracted feature can be used to make face recognition effectively.