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According to the image de-noising problem in the license plate recognition preprocessing, we propose an adaptive coupling PDE de-noising model. We construct a new diffusion term on the basis of the anisotropic diffusion model, which can control the diffusion velocity adaptively and inhibit the salt and pepper noise according to the features of the noisy image. We use the new diffusion term to couple with the anisotropic diffusion model. And we present a new method to calculate the coupling coefficient adaptively, so that the given model can transform between the new diffusion term and the anisotropic diffusion model adaptively and remove the mixed noise effectively. In order to inhibit the image edge blurring, we introduce in the shock filter to do reverse filtering and enhance the image edge. The simulation test results show that the new model can remove the mixed noise of license plate image effectively, preserve the image edge information better, and improve the PSNR. The de-noised image is beneficial to the subsequent character segmentation and recognition. The adaptive coupling PDE de-noising model can improve the correct rate of license plate recognition effectively.