The Research and Improvement on Correction Algorithm of Inclination License Plate

Abstract:

More and more intelligent transportation technologies are applied to license plate detection and recognition that can greatly reduce the burden of traffic management. However, character segmentation of license plate is an indispensable step of license plate recognition. Traditional character segmentation algorithms of license plate mainly use the space between characters of license plate to segment characters, but the license plate cannot be recognized if there are degraded characters or license plate inclination. In this paper, an improved character segmentation algorithm of license plate is proposed. In the improved algorithm, firstly, the noise of precise located license plate is eliminated and then the license plate inclination is tested. When there is license plate inclination, we calculate the inclination angle and use rotation to correct the inclination. So, the problem of license plate inclination is solved in character segmentation. Lastly, the results show that the improved algorithm has better effect than the traditional algorithms and it lays a good foundation for the next research of license plate recognition.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 2800-2803
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.2800
• Online since: March 2014
• Authors: Xiang Hua Hou*, Hong Hai Liu
• Keywords: Binaryzation Image, Hough Transformation, License Plate Detection, Otsu Method

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