Laypa: A Novel Framework for Applying Segmentation Networks to Historical Documents

Stefan Klut, Rutger van Koert, R. Sluijter
{"title":"Laypa: A Novel Framework for Applying Segmentation Networks to Historical Documents","authors":"Stefan Klut, Rutger van Koert, R. Sluijter","doi":"10.1145/3604951.3605520","DOIUrl":null,"url":null,"abstract":"We present novel software to process scans of historical documents to extract their layout information. We do this using a ResNet backbone with a feature pyramid head. We extract region information directly into PageXML. For baseline extraction, we use a two stage processing approach. The software has been applied successfully to several projects. The results show the feasibility to automatically label text lines and regions in historical documents.","PeriodicalId":375632,"journal":{"name":"Proceedings of the 7th International Workshop on Historical Document Imaging and Processing","volume":"65 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Workshop on Historical Document Imaging and Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3604951.3605520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We present novel software to process scans of historical documents to extract their layout information. We do this using a ResNet backbone with a feature pyramid head. We extract region information directly into PageXML. For baseline extraction, we use a two stage processing approach. The software has been applied successfully to several projects. The results show the feasibility to automatically label text lines and regions in historical documents.
Laypa:一个将分割网络应用于历史文献的新框架
我们提出了一种新的软件来处理历史文档的扫描,以提取其布局信息。我们使用带有特征金字塔头的ResNet主干来实现这一点。我们将区域信息直接提取到PageXML中。对于基线提取,我们使用两阶段处理方法。该软件已成功应用于多个工程中。结果表明,在历史文献中实现文本行和区域自动标注是可行的。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信