| 基于聚类分析的车牌定位算法的研究 |
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| 引用本文： | 刘晓薇.基于聚类分析的车牌定位算法的研究[J].通信技术,2008,41(12). |
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| 作者姓名： | 刘晓薇 |
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| 作者单位： | 江两科技师范学院,专科部计算机系,江西,南昌,3300038 |
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| 基金项目： | 江西省教育厅科研项目
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| 摘 要： | 提出一种基于数学形态学和均值聚类的实时车牌定位算法,将边缘处理与聚类分析相结合,得到车牌字符的垂直边缘信息,然后通过数学形态学运算处理,结合车牌的多个特征对车牌进行定位,试验证明,该算法准确率高,抗干扰性强.
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| 关 键 词： | 均值聚类 车牌定位 数学形态学 |
License Plate Location Algorithm Based on K-mean Clustering |
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| LIU Xiao-wei.License Plate Location Algorithm Based on K-mean Clustering[J].Communications Technology,2008,41(12). |
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| Authors: | LIU Xiao-wei |
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| Affiliation: | LIU Xiao-wei (Department of Computer Science of Technological College,Jiangxi Normal University of Science , Technology,Nanchang Jiangxi 330038,China) |
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| Abstract: | A real-time license plate location algorithm based on mathematical morphology and K-means is proposed.By clustering analysis and sobel operations,the vertical edge information of license plate characters can be acquired.Then by further morphological operations and combining with multi-features of plate,the license plate region can be located.The experiment results show that the algorithm improves the ability of anti-interference and the accuracy of location. |
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| Keywords: | K-mean clustering license plate location Mathematical morphology |
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