{"title":"自然景观中地名的提取","authors":"Takuma Yamaguchi, Y. Nakano","doi":"10.1109/IWFHR.2002.1030916","DOIUrl":null,"url":null,"abstract":"This paper proposes an experimental character recognition system to recognise place-names written on signboards. Recently, mobile phones with digital cameras and handy digital cameras have be come popular, so we think this system is useful. In experiments, we tested a total of 112 natural scene images with 320 characters. We obtained a correct character recognition rate of 99% and a place-name recognition rate of 98% (with a rejection rate 2%).","PeriodicalId":114017,"journal":{"name":"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Extraction of place-name from natural scenes\",\"authors\":\"Takuma Yamaguchi, Y. Nakano\",\"doi\":\"10.1109/IWFHR.2002.1030916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an experimental character recognition system to recognise place-names written on signboards. Recently, mobile phones with digital cameras and handy digital cameras have be come popular, so we think this system is useful. In experiments, we tested a total of 112 natural scene images with 320 characters. We obtained a correct character recognition rate of 99% and a place-name recognition rate of 98% (with a rejection rate 2%).\",\"PeriodicalId\":114017,\"journal\":{\"name\":\"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition\",\"volume\":\"121 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWFHR.2002.1030916\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWFHR.2002.1030916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes an experimental character recognition system to recognise place-names written on signboards. Recently, mobile phones with digital cameras and handy digital cameras have be come popular, so we think this system is useful. In experiments, we tested a total of 112 natural scene images with 320 characters. We obtained a correct character recognition rate of 99% and a place-name recognition rate of 98% (with a rejection rate 2%).