{"title":"利用模式识别技术对扫描文档中的英语语言进行回顾:光学识别系统的方法和工作原理的详细研究","authors":"Jhankar Moolchandani, Dr. Kulvinder Hundal","doi":"10.33545/27076636.2022.v3.i2a.71","DOIUrl":null,"url":null,"abstract":"Optical Character Recognition (OCR) is the procedure through which a machine analyses scanned printed or handwritten documents. OCR is a new study topic for Indian scripts that has the potential to replace the habit of manually completing data entries for diverse documents from printed paper records. The primary benefit of this digital textual material is that it can be altered, something that is not feasible with digitized files","PeriodicalId":127185,"journal":{"name":"International Journal of Computing, Programming and Database Management","volume":"87 13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A review of english language from the scanned document with the use of pattern recognition: Detailed study on methodology and working of optical recognition system\",\"authors\":\"Jhankar Moolchandani, Dr. Kulvinder Hundal\",\"doi\":\"10.33545/27076636.2022.v3.i2a.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optical Character Recognition (OCR) is the procedure through which a machine analyses scanned printed or handwritten documents. OCR is a new study topic for Indian scripts that has the potential to replace the habit of manually completing data entries for diverse documents from printed paper records. The primary benefit of this digital textual material is that it can be altered, something that is not feasible with digitized files\",\"PeriodicalId\":127185,\"journal\":{\"name\":\"International Journal of Computing, Programming and Database Management\",\"volume\":\"87 13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computing, Programming and Database Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33545/27076636.2022.v3.i2a.71\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computing, Programming and Database Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33545/27076636.2022.v3.i2a.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A review of english language from the scanned document with the use of pattern recognition: Detailed study on methodology and working of optical recognition system
Optical Character Recognition (OCR) is the procedure through which a machine analyses scanned printed or handwritten documents. OCR is a new study topic for Indian scripts that has the potential to replace the habit of manually completing data entries for diverse documents from printed paper records. The primary benefit of this digital textual material is that it can be altered, something that is not feasible with digitized files
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