基于神经网络的车牌识别

Yiqing Liu, Dong Wei, Ning Zhang, Minzhe Zhao
{"title":"基于神经网络的车牌识别","authors":"Yiqing Liu, Dong Wei, Ning Zhang, Minzhe Zhao","doi":"10.1109/ICINFA.2011.5949018","DOIUrl":null,"url":null,"abstract":"A license plate recognition system based on neural networks was designed and developed. The system used a neural-network chip to recognize license plates. The chip combined video image processing module with neural network module by using equalized image processing algorithm and network classification algorithm. A set of interface circuit was developed for implementing license-plate-number recognition. Experiment results show the system can guarantee a very low error rate at an acceptable recognition time.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Vehicle-license-plate recognition based on neural networks\",\"authors\":\"Yiqing Liu, Dong Wei, Ning Zhang, Minzhe Zhao\",\"doi\":\"10.1109/ICINFA.2011.5949018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A license plate recognition system based on neural networks was designed and developed. The system used a neural-network chip to recognize license plates. The chip combined video image processing module with neural network module by using equalized image processing algorithm and network classification algorithm. A set of interface circuit was developed for implementing license-plate-number recognition. Experiment results show the system can guarantee a very low error rate at an acceptable recognition time.\",\"PeriodicalId\":299418,\"journal\":{\"name\":\"2011 IEEE International Conference on Information and Automation\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Information and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2011.5949018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Information and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2011.5949018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27

摘要

设计并开发了一个基于神经网络的车牌识别系统。该系统使用神经网络芯片来识别车牌。该芯片采用均衡图像处理算法和网络分类算法,将视频图像处理模块与神经网络模块相结合。开发了一套实现车牌号码识别的接口电路。实验结果表明,该系统能在可接受的识别时间内保证极低的误差率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicle-license-plate recognition based on neural networks
A license plate recognition system based on neural networks was designed and developed. The system used a neural-network chip to recognize license plates. The chip combined video image processing module with neural network module by using equalized image processing algorithm and network classification algorithm. A set of interface circuit was developed for implementing license-plate-number recognition. Experiment results show the system can guarantee a very low error rate at an acceptable recognition time.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信