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A new method for non-linear distortion correction of Chinese vehicle license plate
Author(s): Qirui Zhao; Zhenyu Hu; Wei Xu; Maojun Zhang
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Paper Abstract

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.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104202E (21 July 2017); doi: 10.1117/12.2281746
Show Author Affiliations
Qirui Zhao, National Univ. of Defense Technology (China)
Zhenyu Hu, National Univ. of Defense Technology (China)
Wei Xu, National Univ. of Defense Technology (China)
Maojun Zhang, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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