| 基于数学形态学和神经网络的车牌识别 |
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| 引用本文： | 杨杰,历旭,郭伟.基于数学形态学和神经网络的车牌识别[J].武汉理工大学学报(交通科学与工程版),2001,25(3):371-374. |
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| 作者姓名： | 杨杰 历旭 郭伟 |
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| 作者单位： | 武汉理工大学信息工程学院,武汉,430063 |
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| 摘 要： | 汽车牌照的自动识别系统是一种应用于公路交通管理和收费的智能监控系统，文中提出了基于形态学处理定位牌照图象的区域的方法，该方法与其它方法相比对图像没有严格的限制和要求，三层反馈神经网络用来识别和分类，实验证明该方法是有效的。
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| 关 键 词： | 数学形态学 神经网络 汽车牌照 自动识别 公路交通 智能监控 |
| 修稿时间： | 2000年11月26 |
A Recognition of
Vehicle plate with Mathematical Morphology and Neural Networks |
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| Yang Jie,Li Xu,Guo Wei.A Recognition of
Vehicle plate with Mathematical Morphology and Neural Networks[J].journal of wuhan university of technology(transportation science&engineering),2001,25(3):371-374. |
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| Authors: | Yang Jie Li Xu Guo Wei |
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| Abstract: | Requirement of automatic recognition of vehicle license numbers from their plates is in
creasing for social services such as traffic control and collection motor-way charges. This paper
proposes an algorithm based on mathematical morphology operations to detect the region of a vehi
cle licence plate from an image. The uniqueness of this algorithm, in comparison with other ap
proaches to this problem, is that there are no special restrictions imposed on the input images.
Automatic recognition and classification based on feedward three layers neural networks are used.
All algorithms in the paper are verified at 586 computer and experimental results are efficient for
recognition and classification. |
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