| 基于多层前馈神经网络的车牌提取方法 |
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| 引用本文： | 刘军杰,张南.基于多层前馈神经网络的车牌提取方法[J].广东交通职业技术学院学报,2007,6(1):27-29,32. |
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| 作者姓名： | 刘军杰 张南 |
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| 作者单位： | 1. 广东交通职业技术学院,广东广州,510650;华南师范大学,广东广州,510631
2. 中船重工集团第719研究所,湖北武汉,430068 |
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| 摘 要： | 文中提出一种采用三层前馈神经网络提取车牌的方法。该方法是一种基于纹理分析的图像分割算法,适合于彩色及灰度图像。实验表明,该方法能准确地提取图像中的车牌。
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| 关 键 词： | 车牌提取 多层前馈神经网络 特征提取 图像滤波 阈值化 |
| 文章编号： | 1671-8496-（2007）01-0027-03 |
| 修稿时间： | 2006-05-09 |
Multilayer Feedforward Neural Network Based Approach to Vehicle License Plate Extraction |
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| LIU Jun-jie,ZHANG Nan.Multilayer Feedforward Neural Network Based Approach to Vehicle License Plate Extraction[J].Journal of Guangdong Communication Polytechnic,2007,6(1):27-29,32. |
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| Authors: | LIU Jun-jie ZHANG Nan |
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| Institution: | 1 .Guangdong Communications Polytechnic, Guangzhou 510650, China; 2.South China Normal University, Guangzhou 510631, China;3.The 719 Research Institute of China Shipbuilding Industry, Corporation,Wuhan 430068 |
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| Abstract: | In this paper,the authors present a multilayer feedforward neural network(MFNN) based approach to vehicle license plate extraction.This approach adapts to both color and gray image for the reason that it is a kind of texture-based image segmentation method.Experimental results show that vehicle license plate can be extracted from image correctly using the proposed algorithm. |
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| Keywords: | extraction of vehicle license plate multilayer feedforward neural network feature extraction image filtering thresholding |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
