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The correction algorithm research of inclination license plate

机译:倾斜车牌的校正算法研究

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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.
机译:越来越多的智能交通技术被应用到车牌检测和识别中,可以大大减轻交通管理的负担。但是,车牌的字符分割是车牌识别必不可少的步骤。传统的车牌字符分割算法主要是利用车牌字符之间的空间对字符进行分割,但是如果字符变质或车牌倾斜度较大,则无法识别车牌。提出了一种改进的车牌字符分割算法。在改进的算法中,首先消除精确定位的车牌的噪声,然后测试车牌的倾斜度。有车牌倾斜度时,我们计算倾斜角并使用旋转来校正倾斜度。因此,在字符分割中解决了车牌倾斜的问题。最后,结果表明,改进算法比传统算法具有更好的效果,为下一步的车牌识别研究奠定了良好的基础。

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