R. Safari, N. Narasimhamurthi, M. Shridhar, M. Ahmadi
{"title":"表单注册:一种计算机视觉方法","authors":"R. Safari, N. Narasimhamurthi, M. Shridhar, M. Ahmadi","doi":"10.1109/ICDAR.1997.620611","DOIUrl":null,"url":null,"abstract":"In this paper, a technique for extracting the distortion parameters in filled-in forms is presented. The technique determines the transformations that are required to convert a filled-in form to match a known master and then extracts filled-in information. The method involves determining corresponding lines and key points between the master and the filled-in form and using the correspondence to determine the appropriate transformation. The correspondence problem is solved using results from affine geometry.","PeriodicalId":435320,"journal":{"name":"Proceedings of the Fourth International Conference on Document Analysis and Recognition","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Form registration: a computer vision approach\",\"authors\":\"R. Safari, N. Narasimhamurthi, M. Shridhar, M. Ahmadi\",\"doi\":\"10.1109/ICDAR.1997.620611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a technique for extracting the distortion parameters in filled-in forms is presented. The technique determines the transformations that are required to convert a filled-in form to match a known master and then extracts filled-in information. The method involves determining corresponding lines and key points between the master and the filled-in form and using the correspondence to determine the appropriate transformation. The correspondence problem is solved using results from affine geometry.\",\"PeriodicalId\":435320,\"journal\":{\"name\":\"Proceedings of the Fourth International Conference on Document Analysis and Recognition\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"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.1997.620611\",\"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.1997.620611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, a technique for extracting the distortion parameters in filled-in forms is presented. The technique determines the transformations that are required to convert a filled-in form to match a known master and then extracts filled-in information. The method involves determining corresponding lines and key points between the master and the filled-in form and using the correspondence to determine the appropriate transformation. The correspondence problem is solved using results from affine geometry.