Since the image acquisition is interfered by various factors, and the image of the license plate is often distorted, the distortion correction of the license plate image is of great significance to improve the accuracy of the license plate recognition. In this paper, we propose a new method to segment distorted images for linear approximation. The main idea is to segment the non-linear distorted license plate images into linear parts according to the license plate character, searching for the corners of each part, then reconstructing the non-linear distortion of the license plate image by using the perspective projection model, finally realizing the license plate image correction. Experimental results show that the proposed method is effective for the correction of non-linear distortion plate images.
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