{"title":"一种新的基于DSP的车牌实时检测算法","authors":"Yuh-Rau Wang, Wei-Hung Lin, Ling Yang","doi":"10.1109/ICMLC.2012.6359645","DOIUrl":null,"url":null,"abstract":"This paper proposed a novel digital signal processor (DSP ) based license plate detection algorithm. DSP is applied to achieve the real time detection. Kalman filter is used to promote the speed of license plate localization (LPL) and reduce the times of frames. Through our proposal the feature filter algorithm can enhance the feature of LP. Experimental results show that the method proposed can detect license plates and the accuracy is up to 99%.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A novel DSP based real time license plate detection algorithm\",\"authors\":\"Yuh-Rau Wang, Wei-Hung Lin, Ling Yang\",\"doi\":\"10.1109/ICMLC.2012.6359645\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposed a novel digital signal processor (DSP ) based license plate detection algorithm. DSP is applied to achieve the real time detection. Kalman filter is used to promote the speed of license plate localization (LPL) and reduce the times of frames. Through our proposal the feature filter algorithm can enhance the feature of LP. Experimental results show that the method proposed can detect license plates and the accuracy is up to 99%.\",\"PeriodicalId\":128006,\"journal\":{\"name\":\"2012 International Conference on Machine Learning and Cybernetics\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2012.6359645\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2012.6359645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel DSP based real time license plate detection algorithm
This paper proposed a novel digital signal processor (DSP ) based license plate detection algorithm. DSP is applied to achieve the real time detection. Kalman filter is used to promote the speed of license plate localization (LPL) and reduce the times of frames. Through our proposal the feature filter algorithm can enhance the feature of LP. Experimental results show that the method proposed can detect license plates and the accuracy is up to 99%.