{"title":"利用人工神经网络读取汽车牌照","authors":"M. Raus, L. Kreft","doi":"10.1109/MWSCAS.1995.504495","DOIUrl":null,"url":null,"abstract":"For evaluating parking rates without the usage of tickets the reading of car license plates from video image sequences taking from the fronts of incoming cars was implemented under use of artificial neural networks (ANNs). The detection of the number plate area and the classification of the classically separated character regions were implemented by different ANN approaches with convincing results.","PeriodicalId":165081,"journal":{"name":"38th Midwest Symposium on Circuits and Systems. Proceedings","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":"{\"title\":\"Reading car license plates by the use of artificial neural networks\",\"authors\":\"M. Raus, L. Kreft\",\"doi\":\"10.1109/MWSCAS.1995.504495\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For evaluating parking rates without the usage of tickets the reading of car license plates from video image sequences taking from the fronts of incoming cars was implemented under use of artificial neural networks (ANNs). The detection of the number plate area and the classification of the classically separated character regions were implemented by different ANN approaches with convincing results.\",\"PeriodicalId\":165081,\"journal\":{\"name\":\"38th Midwest Symposium on Circuits and Systems. Proceedings\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"38th Midwest Symposium on Circuits and Systems. Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSCAS.1995.504495\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"38th Midwest Symposium on Circuits and Systems. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.1995.504495","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reading car license plates by the use of artificial neural networks
For evaluating parking rates without the usage of tickets the reading of car license plates from video image sequences taking from the fronts of incoming cars was implemented under use of artificial neural networks (ANNs). The detection of the number plate area and the classification of the classically separated character regions were implemented by different ANN approaches with convincing results.
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