A mean period based approach for fingerprint classification is presented. It computes the mean period of every fingerprint and sorts fingerprints according to their mean periods. This approach speeds up the searching of the fingerprint database efficiently. And perfect performance is possible if combining this method with the traditional fingerprint classification.