Abstract: The fast record of container number is very important for the terminal and the port business. Since the image of the camera is often accompanied by the serious distortion, and greatly affect the accuracy of the character recognition algorithm, we need to correct the image before the recognition. In this paper, a fast and effective method to correct the distortion of the container image is proposed. Based on MSER element projection merging algorithm, the container area are detected and the correction feature region is determined. Then, according to low rank model with LADMAP* and initial value of warm start method, the method is able to reduce algorithm complexity and correct image. Finally, combining with the image of low rank and the convergence condition of optimization algorithm before and after the transformation, the final results are obtained. The experimental results show that the algorithm is not only good for container number correction but also robust.

Key words: distortion correction, MSER, low-rank model, LADMAP*