{"title":"在线手绘线图识别及其应用","authors":"H. Kojima, Tohru Toida","doi":"10.1109/ICPR.1988.28461","DOIUrl":null,"url":null,"abstract":"An efficient online hand-drawn line-figure recognition method called the adjacent strokes structure analysis method (ASSAM) is described. ASSAM is interactive, using adjacent-stroke features and is independent of how the figures are drawn. Several recognition experiments for hand-drawn line-figures confirm that ASSAM has a high recognition rate. This work also describes an integrated system using ASSAM, an online handwritten character-recognition method and an online text/figure editing method by handwritten instructions.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Online hand-drawn line-figure recognition and its application\",\"authors\":\"H. Kojima, Tohru Toida\",\"doi\":\"10.1109/ICPR.1988.28461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An efficient online hand-drawn line-figure recognition method called the adjacent strokes structure analysis method (ASSAM) is described. ASSAM is interactive, using adjacent-stroke features and is independent of how the figures are drawn. Several recognition experiments for hand-drawn line-figures confirm that ASSAM has a high recognition rate. This work also describes an integrated system using ASSAM, an online handwritten character-recognition method and an online text/figure editing method by handwritten instructions.<<ETX>>\",\"PeriodicalId\":314236,\"journal\":{\"name\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1988.28461\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988 Proceedings] 9th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1988.28461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online hand-drawn line-figure recognition and its application
An efficient online hand-drawn line-figure recognition method called the adjacent strokes structure analysis method (ASSAM) is described. ASSAM is interactive, using adjacent-stroke features and is independent of how the figures are drawn. Several recognition experiments for hand-drawn line-figures confirm that ASSAM has a high recognition rate. This work also describes an integrated system using ASSAM, an online handwritten character-recognition method and an online text/figure editing method by handwritten instructions.<>