{"title":"Text extraction for Sri Lankan number plates","authors":"J. Jayasekara, W. Kumara","doi":"10.1109/UMEDIA.2015.7297434","DOIUrl":null,"url":null,"abstract":"Automatic text extraction from number plates is used in most of the countries in present. In this paper a semiautomatic text extraction from Sri Lankan vehicle number plates is presented. There are several number plate types currently available in Sri Lanka. First a set of template was created based on the font used in the number plates for all the English letters and numbers. Number plate first corrected as can be seen from a camera situated in front of the camera. Then the area of the numbers is extracted. Texts and numbers are then separated in to separate images. Finally separated texts and numbers are matched with the original template created using template matching. A data set consisted of 93 number plates is used to demonstrate the usability of the proposed method.","PeriodicalId":262562,"journal":{"name":"2015 8th International Conference on Ubi-Media Computing (UMEDIA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Conference on Ubi-Media Computing (UMEDIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UMEDIA.2015.7297434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Automatic text extraction from number plates is used in most of the countries in present. In this paper a semiautomatic text extraction from Sri Lankan vehicle number plates is presented. There are several number plate types currently available in Sri Lanka. First a set of template was created based on the font used in the number plates for all the English letters and numbers. Number plate first corrected as can be seen from a camera situated in front of the camera. Then the area of the numbers is extracted. Texts and numbers are then separated in to separate images. Finally separated texts and numbers are matched with the original template created using template matching. A data set consisted of 93 number plates is used to demonstrate the usability of the proposed method.
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