Nur Aliyatul Husna Bt Yahya, S. Abdullah, Abbas Salimi Zaini, Mohd Zamri Murah, A. Abdullah, Shariffpudin Basiron
{"title":"License plate localization based on Kapur optimal multilevel threshold","authors":"Nur Aliyatul Husna Bt Yahya, S. Abdullah, Abbas Salimi Zaini, Mohd Zamri Murah, A. Abdullah, Shariffpudin Basiron","doi":"10.1109/CONFLUENCE.2017.7943127","DOIUrl":null,"url":null,"abstract":"A license plate localization system is useful for many applications. Due to ambient of lighting in three distinct situation which are morning, afternoon and night causing difficulty to search optimum threshold value in each situation. This research uses global thresholding approach by using Kapur entropy multilevel threshold based on Patch-Levy Bees Algorithm (PLBA). As a result, the system properly localize and identify number plate in the image by using proposed segmentation image. From the experiment, proposed method are achieve accuracy rates to 67.68%, 90.71%, 24.34% respectively for morning, afternoon and night dataset.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"10 9 1","pages":"77-81"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONFLUENCE.2017.7943127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A license plate localization system is useful for many applications. Due to ambient of lighting in three distinct situation which are morning, afternoon and night causing difficulty to search optimum threshold value in each situation. This research uses global thresholding approach by using Kapur entropy multilevel threshold based on Patch-Levy Bees Algorithm (PLBA). As a result, the system properly localize and identify number plate in the image by using proposed segmentation image. From the experiment, proposed method are achieve accuracy rates to 67.68%, 90.71%, 24.34% respectively for morning, afternoon and night dataset.
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