High performance face recognition system by creating virtual sample

Research the small sample face recognition approach. A small sample statistics face recognition approach based on virtual sample is presented. In this method, prototype faces and an optic flow and expression ratio image based method are presented to generate more expressive facial expression, which are used to create virtual sample to extend the sample set, the training set is rational extended by generating different expressive expressions for one given facial image. A Local probabilistic approach is used to recognize test samples. Experiment result shows the approach can improve face recognize rate of small sample efficiently.