{"title":"草图电气图的在线识别","authors":"Jean-Philippe Valois, Myriam Côté, M. Cheriet","doi":"10.1109/ICDAR.2001.953832","DOIUrl":null,"url":null,"abstract":"In this paper, a model-based scheme for recognizing and beautifying online hand-drawn sketches of electric diagrams is presented. The system uses a structural and topological relations matching mechanism that allows scale, translation, rotation invariant recognition. A simple prototype was developed and preliminary experimental results show how this technique, although simple, is efficient in recognizing such sketches.","PeriodicalId":277816,"journal":{"name":"Proceedings of Sixth International Conference on Document Analysis and Recognition","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Online recognition of sketched electrical diagrams\",\"authors\":\"Jean-Philippe Valois, Myriam Côté, M. Cheriet\",\"doi\":\"10.1109/ICDAR.2001.953832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a model-based scheme for recognizing and beautifying online hand-drawn sketches of electric diagrams is presented. The system uses a structural and topological relations matching mechanism that allows scale, translation, rotation invariant recognition. A simple prototype was developed and preliminary experimental results show how this technique, although simple, is efficient in recognizing such sketches.\",\"PeriodicalId\":277816,\"journal\":{\"name\":\"Proceedings of Sixth International Conference on Document Analysis and Recognition\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Sixth International Conference on Document Analysis and Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.2001.953832\",\"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 Sixth International Conference on Document Analysis and Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2001.953832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online recognition of sketched electrical diagrams
In this paper, a model-based scheme for recognizing and beautifying online hand-drawn sketches of electric diagrams is presented. The system uses a structural and topological relations matching mechanism that allows scale, translation, rotation invariant recognition. A simple prototype was developed and preliminary experimental results show how this technique, although simple, is efficient in recognizing such sketches.