| License Plate Recognition Based on Transform Coding and Neural Network |
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| 作者姓名： | 李小平 胡海生 宋瀚涛 朱建学 丁俨 |
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| 作者单位： | DepartmentofComputerScienceandEngineering,SchoolofInformationScienceandTechnology,BeijingInstituteofTechnology,Beijing100081,China |
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| 摘 要： | A method of vehicle license plate recognition utilizing Karhunen-Loeve(K-L)transform is provided.The transform is used to extract features from a mass of image templates,to describe high-dimensional images with low-dimensional ones,and moreover,to implement data compression and play down complexity of the neural network.With the character to reduce eigenspace dimensionality of K-L transform and the ability to map data of BP network,the method does effectively in recognizing license plates.
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| 关 键 词： | 神经网络 BP网络 模式识别 K－L变换 |
| 收稿时间： | 2002/3/28 0:00:00 |
License Plate Recognition Based on Transform Coding and Neural Network |
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| LI Xiao-ping,HU Hai-sheng,SONG Han-tao,ZHU Jian-xue and DING Yan.License Plate Recognition Based on Transform Coding and Neural Network[J].Journal of Beijing Institute of Technology,2003,12(1):42-45. |
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| Authors: | LI Xiao-ping HU Hai-sheng SONG Han-tao ZHU Jian-xue and DING Yan |
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| Affiliation: | Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | A method of vehicle license plate recognition utilizing Karhunen-Loeve(K-L) transform is provided. The transform is used to extract features from a mass of image templates, to describe high-dimensional images with low-dimensional ones, and moreover, to implement data compression and play down complexity of the neural network. With the character to reduce eigenspace dimensionality of K-L transform and the ability to map data of BP network, the method does effectively in recognizing license plates. |
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| Keywords: | K-L transform BP network pattern recognition |
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