A generic method of cleaning and enhancing handwritten data from business forms

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal on Document Analysis and Recognition Pub Date : 2001-12-01 DOI:10.1007/s100320100056
Xiangyun Ye, M. Cheriet, C. Suen
{"title":"A generic method of cleaning and enhancing handwritten data from business forms","authors":"Xiangyun Ye, M. Cheriet, C. Suen","doi":"10.1007/s100320100056","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":50277,"journal":{"name":"International Journal on Document Analysis and Recognition","volume":"54 1","pages":"84-96"},"PeriodicalIF":1.8000,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Document Analysis and Recognition","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s100320100056","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 29
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
从业务表单中清理和增强手写数据的通用方法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition 工程技术-计算机:人工智能
CiteScore
6.20
自引率
4.30%
发文量
30
审稿时长
7.5 months
期刊介绍: The large number of existing documents and the production of a multitude of new ones every year raise important issues in efficient handling, retrieval and storage of these documents and the information which they contain. This has led to the emergence of new research domains dealing with the recognition by computers of the constituent elements of documents - including characters, symbols, text, lines, graphics, images, handwriting, signatures, etc. In addition, these new domains deal with automatic analyses of the overall physical and logical structures of documents, with the ultimate objective of a high-level understanding of their semantic content. We have also seen renewed interest in optical character recognition (OCR) and handwriting recognition during the last decade. Document analysis and recognition are obviously the next stage. Automatic, intelligent processing of documents is at the intersections of many fields of research, especially of computer vision, image analysis, pattern recognition and artificial intelligence, as well as studies on reading, handwriting and linguistics. Although quality document related publications continue to appear in journals dedicated to these domains, the community will benefit from having this journal as a focal point for archival literature dedicated to document analysis and recognition.
期刊最新文献
A survey on artificial intelligence-based approaches for personality analysis from handwritten documents In-domain versus out-of-domain transfer learning for document layout analysis Deep learning-based modified-EAST scene text detector: insights from a novel multiscript dataset Towards fully automated processing and analysis of construction diagrams: AI-powered symbol detection GAN-based text line segmentation method for challenging handwritten documents
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1