Dynamic grouping multi-classes face recognition method

The paper presents a dynamic grouping multi-class face recognition method, which has knowledge-increasable ability and can solve the problems of large classes face recognition and pattern classes dynamic extension. By adopting multiple classifiers parallel working in the process of training and dynamic grouping recognition, the method can not only speed up calculation and improve the recognition rate but also achieve extension easily and freely. Experimental results prove its reasonableness and feasibility.