| 基于数学形态学及车牌综合特征的车牌定位算法 |
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| 引用本文： | 薛冰,王斌斌,刘荣辉. 基于数学形态学及车牌综合特征的车牌定位算法[J]. 计算机测量与控制, 2011, 19(10) |
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| 作者姓名： | 薛冰 王斌斌 刘荣辉 |
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| 作者单位： | 1. 河南城建学院计算机科学与工程系,河南平顶山,467036
2. 河南城建学院计算机科学与工程系,河南平顶山467036;东华大学管理学院,上海200051 |
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| 基金项目： | 国家自然科学基金(70971020) |
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| 摘 要： | 车牌定位是车牌识别系统中的关键步骤;利用车牌图像区域丰富的边缘信息以及车牌本身的特征,提出一种实用而有效的车牌定位方法;首先,将原始图像转换到灰度空间上,利用车牌丰富的图像边缘特征信息和数学形态学操作对图像进行粗定位;然后,根据车牌本身的特征量化5种不同的特征,通过贝叶斯分类器的训练,实现对车牌区域的精确定位;最后,通过实验对1500幅彩色图像进行测试,其有效率可达95.20%。
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| 关 键 词： | 车牌定位 数学形态学 车牌区域特征 贝叶斯分类器 |
License Plate Location Algorithm Based on Mathematical Morphology and Plate Features |
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| Xue Bing,Wang Binbin,Liu Ronghui. License Plate Location Algorithm Based on Mathematical Morphology and Plate Features[J]. Computer Measurement & Control, 2011, 19(10) |
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| Authors: | Xue Bing Wang Binbin Liu Ronghui |
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| Affiliation: | Xue Bing1,Wang Binbin1,Liu Ronghui1,2 (1.Henan University of Urban Construction,Pingdingshan 467036,China,2.School of Management,Donghua University,Shanghai 200051,China) |
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| Abstract: | The location of license plate plays a critical step in license plate recognition system.A practical and effective method of locating the plate was introduced by using the rich edge information and unique features of the license plate.Firstly,the original image was transferred to gray space and the rough location were detected by using the edge information of characters and the operation of the mathematical morphology and accurate region of license plate was decided by the Bayes classifier using five feature... |
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| Keywords: | license plate location morphology license plate features bayesian classifier |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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