{"title":"在视频场景中识别车牌四位数的灵活方法","authors":"Kotaro Haneda, H. Hanaizumi","doi":"10.1109/ICIT.2012.6209923","DOIUrl":null,"url":null,"abstract":"In order to realize a simple system for monitoring car movements, a flexible method was developed for recognizing four-digit numbers on a license-plate in a video scene. The method consisted of three parts; global search for finding a license plate in a scene, corner detection for removing shape deformation, and numeral character recognition. The spatial features and the spectral (color) ones were merged and processed at a time in the global search. The Hough transformation was adopted for selecting sides of the license-plate among various edges in the following corner detection. The corner points found as cross points of the neighboring sides were used for removing the shape deformation. The four-digit numbers were recognized by using a virtual pixel algorithm with centroid compensation. The global search achieved 97 % of correct detection rate for 100 sets of scenes. The corner detection achieved 65 % (39 of 65 scenes) of correct detection rate, so far. The four-digit numbers on the license-plates, whose corners were correctly detected, were recognized perfectly.","PeriodicalId":365141,"journal":{"name":"2012 IEEE International Conference on Industrial Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A flexible method for recognizing four-digit numbers on a license-plate in a video scene\",\"authors\":\"Kotaro Haneda, H. Hanaizumi\",\"doi\":\"10.1109/ICIT.2012.6209923\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to realize a simple system for monitoring car movements, a flexible method was developed for recognizing four-digit numbers on a license-plate in a video scene. The method consisted of three parts; global search for finding a license plate in a scene, corner detection for removing shape deformation, and numeral character recognition. The spatial features and the spectral (color) ones were merged and processed at a time in the global search. The Hough transformation was adopted for selecting sides of the license-plate among various edges in the following corner detection. The corner points found as cross points of the neighboring sides were used for removing the shape deformation. The four-digit numbers were recognized by using a virtual pixel algorithm with centroid compensation. The global search achieved 97 % of correct detection rate for 100 sets of scenes. The corner detection achieved 65 % (39 of 65 scenes) of correct detection rate, so far. The four-digit numbers on the license-plates, whose corners were correctly detected, were recognized perfectly.\",\"PeriodicalId\":365141,\"journal\":{\"name\":\"2012 IEEE International Conference on Industrial Technology\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Industrial Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2012.6209923\",\"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 IEEE International Conference on Industrial Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2012.6209923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A flexible method for recognizing four-digit numbers on a license-plate in a video scene
In order to realize a simple system for monitoring car movements, a flexible method was developed for recognizing four-digit numbers on a license-plate in a video scene. The method consisted of three parts; global search for finding a license plate in a scene, corner detection for removing shape deformation, and numeral character recognition. The spatial features and the spectral (color) ones were merged and processed at a time in the global search. The Hough transformation was adopted for selecting sides of the license-plate among various edges in the following corner detection. The corner points found as cross points of the neighboring sides were used for removing the shape deformation. The four-digit numbers were recognized by using a virtual pixel algorithm with centroid compensation. The global search achieved 97 % of correct detection rate for 100 sets of scenes. The corner detection achieved 65 % (39 of 65 scenes) of correct detection rate, so far. The four-digit numbers on the license-plates, whose corners were correctly detected, were recognized perfectly.