{"title":"在地图上提取和识别数字字符串的系统","authors":"Liang-Hua Chen, Jiing-Yuh Wang","doi":"10.1109/ICDAR.1997.619867","DOIUrl":null,"url":null,"abstract":"The paper presents a complete procedure for the extraction and recognition of handprinted numeral strings on maps. The character extraction algorithm can even segment slant and touching characters into individual components. The feature based recognition algorithm can recognize numeral characters of any size, position, and orientation. Our features for discrimination are simple and easily detectable. Experimental results on utility and cadastral maps have shown that the proposed technique is effective in the automatic data capture of geographic information systems.","PeriodicalId":435320,"journal":{"name":"Proceedings of the Fourth International Conference on Document Analysis and Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A system for extracting and recognizing numeral strings on maps\",\"authors\":\"Liang-Hua Chen, Jiing-Yuh Wang\",\"doi\":\"10.1109/ICDAR.1997.619867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a complete procedure for the extraction and recognition of handprinted numeral strings on maps. The character extraction algorithm can even segment slant and touching characters into individual components. The feature based recognition algorithm can recognize numeral characters of any size, position, and orientation. Our features for discrimination are simple and easily detectable. Experimental results on utility and cadastral maps have shown that the proposed technique is effective in the automatic data capture of geographic information systems.\",\"PeriodicalId\":435320,\"journal\":{\"name\":\"Proceedings of the Fourth International Conference on Document Analysis and Recognition\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fourth International Conference on Document Analysis and Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.1997.619867\",\"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 of the Fourth International Conference on Document Analysis and Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.1997.619867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A system for extracting and recognizing numeral strings on maps
The paper presents a complete procedure for the extraction and recognition of handprinted numeral strings on maps. The character extraction algorithm can even segment slant and touching characters into individual components. The feature based recognition algorithm can recognize numeral characters of any size, position, and orientation. Our features for discrimination are simple and easily detectable. Experimental results on utility and cadastral maps have shown that the proposed technique is effective in the automatic data capture of geographic information systems.