A Synergetic Association Classifier (SAC) based on Synergetic theory is presented, in which a dynamic system is constructed. And by the evolving of the system and finally reaching a steady state, objects could be classified accurately. In this paper, a project which recognizes images of vehicle-license-plate using SAC is also devised. The segmented characters are identified by SAC. The experiments show that the results of the recognition of vehicle-license-plates are satisfying. The algorithm is easier for training and has good capability of association. It is robust for image distortion caused by noise and visual distortion.