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神经网络在车牌识别中的应用
引用本文:王力,王小华,王莉.神经网络在车牌识别中的应用[J].微型机与应用,2011,30(5):38-40.
作者姓名:王力  王小华  王莉
作者单位:长沙理工大学,电气与信息工程学院,湖南,长沙,410076
摘    要:介绍了中国车牌识别的研究背景和现状,提出了一种基于神经网络的新方法,并设计了一种没有直接预处理的车牌像素图像的卷积神经网络结构。该图像变换适用于利用原始车牌来增加训练数据库。实验结果验证了本车牌识别方法的鲁棒性和有无车牌的识别效率。

关 键 词:卷积神经网络  鲁棒性  预处理  车牌识别

Application of neural network in license plate recognition
Wang Li,Wang Xiaohua,Wang Li.Application of neural network in license plate recognition[J].Microcomputer & its Applications,2011,30(5):38-40.
Authors:Wang Li  Wang Xiaohua  Wang Li
Affiliation:Wang Li,Wang Xiaohua,Wang Li (College of Electric and Information Engineering,Changsha University of Science and Technology,Changsha 410076,China)
Abstract:The article introduces the background of Chinese vehicle plate recognition and situation, proposes a new method based on neural network, and designs a license plate without direct pixel image preprocessing of convolution neural network structure. The image is applicable to transform the original license to increase training database. The experimental results verify the license plate identification method and robustness of the license plate recognition efficiency.
Keywords:convolution neural network  robustness  preprocessing  license plate recognition  
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