{"title":"缅甸警示牌图像的字符分割与识别","authors":"Kyi Pyar Zaw, Zin Mar Kyu","doi":"10.2991/IJNDC.K.190326.002","DOIUrl":null,"url":null,"abstract":"Warnings about the display of signs are important in several areas of application: machine language translation, text-to-speech, help for visually impaired and foreigners. There are some methods and are described in the literature. Some researchers recognize Myanmar handwritten characters based on structural and statistical characteristics. Myanmar’s character recognition system was developed to apply license plate recognition, date identification and number of numbers on bank checks, typed character recognition in the standard application form, bilingual design of Burmese symbols, with English symbols, Burmese handwritten character recognition. They are primarily based on pattern matching and normalized correlation with large databases of storage patterns.","PeriodicalId":318936,"journal":{"name":"Int. J. Networked Distributed Comput.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Character Segmentation and Recognition for Myanmar Warning Signboard Images\",\"authors\":\"Kyi Pyar Zaw, Zin Mar Kyu\",\"doi\":\"10.2991/IJNDC.K.190326.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Warnings about the display of signs are important in several areas of application: machine language translation, text-to-speech, help for visually impaired and foreigners. There are some methods and are described in the literature. Some researchers recognize Myanmar handwritten characters based on structural and statistical characteristics. Myanmar’s character recognition system was developed to apply license plate recognition, date identification and number of numbers on bank checks, typed character recognition in the standard application form, bilingual design of Burmese symbols, with English symbols, Burmese handwritten character recognition. They are primarily based on pattern matching and normalized correlation with large databases of storage patterns.\",\"PeriodicalId\":318936,\"journal\":{\"name\":\"Int. J. Networked Distributed Comput.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Networked Distributed Comput.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/IJNDC.K.190326.002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Networked Distributed Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/IJNDC.K.190326.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Character Segmentation and Recognition for Myanmar Warning Signboard Images
Warnings about the display of signs are important in several areas of application: machine language translation, text-to-speech, help for visually impaired and foreigners. There are some methods and are described in the literature. Some researchers recognize Myanmar handwritten characters based on structural and statistical characteristics. Myanmar’s character recognition system was developed to apply license plate recognition, date identification and number of numbers on bank checks, typed character recognition in the standard application form, bilingual design of Burmese symbols, with English symbols, Burmese handwritten character recognition. They are primarily based on pattern matching and normalized correlation with large databases of storage patterns.