{"title":"复杂背景下的车牌快速提取方法","authors":"Hongliang Bai, J. Zhu, Chang-ping Liu","doi":"10.1109/ITSC.2003.1252633","DOIUrl":null,"url":null,"abstract":"This paper presents a fast license plate localization algorithm for monitoring the highway ticketing systems. The proposed approach can be divided into four sections, that is, vertical edge detection, edge density map generation, binarization and dilation, and license plate location. The algorithm can quickly and correctly detect the region of vehicle license plates. Under the experiment databases, which were taken from real scene, 459 from 478 images are successfully detected. The average accuracy of locating vehicle license plate is 96.00%. The average processing time of one color image is about 100 ms.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"89","resultStr":"{\"title\":\"A fast license plate extraction method on complex background\",\"authors\":\"Hongliang Bai, J. Zhu, Chang-ping Liu\",\"doi\":\"10.1109/ITSC.2003.1252633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a fast license plate localization algorithm for monitoring the highway ticketing systems. The proposed approach can be divided into four sections, that is, vertical edge detection, edge density map generation, binarization and dilation, and license plate location. The algorithm can quickly and correctly detect the region of vehicle license plates. Under the experiment databases, which were taken from real scene, 459 from 478 images are successfully detected. The average accuracy of locating vehicle license plate is 96.00%. The average processing time of one color image is about 100 ms.\",\"PeriodicalId\":123155,\"journal\":{\"name\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"89\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2003.1252633\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2003.1252633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fast license plate extraction method on complex background
This paper presents a fast license plate localization algorithm for monitoring the highway ticketing systems. The proposed approach can be divided into four sections, that is, vertical edge detection, edge density map generation, binarization and dilation, and license plate location. The algorithm can quickly and correctly detect the region of vehicle license plates. Under the experiment databases, which were taken from real scene, 459 from 478 images are successfully detected. The average accuracy of locating vehicle license plate is 96.00%. The average processing time of one color image is about 100 ms.
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