A new algorithm for license plate position in complex backgrounds is proposed in this paper. The algorithm is decomposed into two parts

identification of candidate region and elimination of pseudo-region. The edge information and the texture features of license plate region are used to identify the candidate plates. The complexity of the algorithm is reduced and the accuracy of positioning is also improved. Then a sliding strip window is used to select connectivity blocks in the binary image of the candidate plate. And plate syntactic features are combined to evaluate the candidate plate. The low precision of license plate position in complex background and fuzzy image is solved effectively. Moreover

the results of the positioning provide important prior information for following character segmentation. Experimental results prove that the position method has good real-time performance and high positioning accuracy. In particular

it has strong robust performance for complex backgrounds and fuzzy images.