{"title":"马来西亚车牌自动识别系统使用Pearson相关","authors":"Wong Weng Keong, Vahab Iranmanesh","doi":"10.1109/ISCAIE.2016.7575034","DOIUrl":null,"url":null,"abstract":"Automatic Number Plate Recognition (ANPR) system helps to monitor and track down a large number of vehicle registration number plates by reading the vehicle plates as input and recognize the plates' characters as output automatically. In fact, inaccuracy of recognition can be caused by various factors such as rotation of the plate and non-uniform illumination during image acquisition. In this paper, de-skewing operations and template matching technique are proposed to maintain the accuracy of the car plate at the high level. The suggested system achieved 91.1% of overall accuracy in the recognition process in the system.","PeriodicalId":412517,"journal":{"name":"2016 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Malaysian automatic number plate recognition system using Pearson correlation\",\"authors\":\"Wong Weng Keong, Vahab Iranmanesh\",\"doi\":\"10.1109/ISCAIE.2016.7575034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic Number Plate Recognition (ANPR) system helps to monitor and track down a large number of vehicle registration number plates by reading the vehicle plates as input and recognize the plates' characters as output automatically. In fact, inaccuracy of recognition can be caused by various factors such as rotation of the plate and non-uniform illumination during image acquisition. In this paper, de-skewing operations and template matching technique are proposed to maintain the accuracy of the car plate at the high level. The suggested system achieved 91.1% of overall accuracy in the recognition process in the system.\",\"PeriodicalId\":412517,\"journal\":{\"name\":\"2016 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAIE.2016.7575034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAIE.2016.7575034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Malaysian automatic number plate recognition system using Pearson correlation
Automatic Number Plate Recognition (ANPR) system helps to monitor and track down a large number of vehicle registration number plates by reading the vehicle plates as input and recognize the plates' characters as output automatically. In fact, inaccuracy of recognition can be caused by various factors such as rotation of the plate and non-uniform illumination during image acquisition. In this paper, de-skewing operations and template matching technique are proposed to maintain the accuracy of the car plate at the high level. The suggested system achieved 91.1% of overall accuracy in the recognition process in the system.