We described a two-stage recognition method that reduces the calculation load of correlation and improves the recognition accuracy in statistical image recognition. Image screening was used as an effective preprocessing method for improving recognition accuracy and effective. We also introduced a screening criterion for measuring the overall efficiency and accuracy of recognition. The criterion is determined by the a prior probabilities of the target object class and the other class, the error rate in screening, and the rejection rate of noise images for image screening.