License plate recognition is an important branch of the intelligent transportation system. In the character recognition module, there is a misrecognition problem. The reasons are the methods of the recognition and the singled template. To solve these problems, a improved LBP feature operator is proposed, extracting features from the segmented characters, thus improving recognition rate. On the other hand, inclining or deflecting templates, to adapt to different angles of inclination of the plate image. The experimental results show that the recognition rate has been improved by our methods.