Abstract: A method is proposed based on image blocking for the poor results of occluded face recognition using SRC algorithm based on compressed sensing.It performs recognition after blocking image.It disperses the occlusion in the less blocks as possible in order to reduce the adverse effect of occlusion on face recognition.Results of the experiments based on AR face database show that, occluded face recognition rate with this method can reach more than 80%, which is significantly higher than the rate of 40%~50% with basic SRC algorithm.