| 基于改进的K-means的车牌字符分割 |
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| 引用本文： | 李金,宫宁生,张蕾.基于改进的K-means的车牌字符分割[J].电视技术,2015,39(1):136-138. |
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| 作者姓名： | 李金 宫宁生 张蕾 |
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| 作者单位： | 南京工业大学电子与信息工程学院,江苏南京,211816 |
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| 基金项目： | 国家重点基础研究发展计划（973计划） |
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| 摘 要： | 提出了一种基于改进的K-means的车牌字符分割方法。该方法首先利用均值跳变法对车牌区域进行精确定位,再利用改进的K-means算法对车牌字符进行聚类,最后根据K-means算法得到的聚类中心对车牌字符进行分割。实验结果表明,该方法能够准确地分割出车牌字符,且具有较强的抗干扰性。
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| 关 键 词： | 车牌字符分割 均值跳变 K-means |
| 收稿时间： | 2014/4/11 0:00:00 |
| 修稿时间： | 2014/5/14 0:00:00 |
License Plate Character Segmentation Based on Improved K-means Algorithm |
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| Li Jin,Gong Ningshen and ZhangLei.License Plate Character Segmentation Based on Improved K-means Algorithm[J].Tv Engineering,2015,39(1):136-138. |
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| Authors: | Li Jin Gong Ningshen and ZhangLei |
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| Affiliation: | Nanjing University of Technology,Nanjing University of Technology,Nanjing University of Technology |
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| Abstract: | This paper proposes a character segmentation method of license plate based on improved K-means Algorithm. This method firstly uses the mean jump method to locate the license plate precisely. And then clustering the character of license plate by using improved K-means algorithm. Finally, according to the cluster center, which is acquired by K-means algorithm, segment the character of license plate. The experimental results show that this method can segment the character of license plate accurately, and has a strong anti-interference. |
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| Keywords: | License plate character segmentation mean jump K-means |
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