Younghyun Lee, Taeyup Song, Bonhwa Ku, Seoungseon Jeon, D. Han, Hanseok Ko
{"title":"License Plate Detection Using Local Structure Patterns","authors":"Younghyun Lee, Taeyup Song, Bonhwa Ku, Seoungseon Jeon, D. Han, Hanseok Ko","doi":"10.1109/AVSS.2010.48","DOIUrl":null,"url":null,"abstract":"We address the problem of license plate detection invideo surveillance systems. The Adaboost based approach,known for relative ease of implementation, makes use ofdiscriminative features such as edges or Haar-like features.In this paper, we propose a novel detection algorithm basedon local structure patterns for license plate detection. Theproposed algorithm includes post-processing methods toreduce false positive rate using positional and colorinformation of license plates. Experimental resultsdemonstrate effectiveness of the proposed methodcompared","PeriodicalId":415758,"journal":{"name":"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AVSS.2010.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
Abstract
We address the problem of license plate detection invideo surveillance systems. The Adaboost based approach,known for relative ease of implementation, makes use ofdiscriminative features such as edges or Haar-like features.In this paper, we propose a novel detection algorithm basedon local structure patterns for license plate detection. Theproposed algorithm includes post-processing methods toreduce false positive rate using positional and colorinformation of license plates. Experimental resultsdemonstrate effectiveness of the proposed methodcompared