多分辨率描述对档案文档结构识别的贡献

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Pub Date : 2007-09-23 DOI:10.1109/ICDAR.2007.92

Aurélie Lemaitre, J. Camillerapp, Bertrand Coüasnon

{"title":"多分辨率描述对档案文档结构识别的贡献","authors":"Aurélie Lemaitre, J. Camillerapp, Bertrand Coüasnon","doi":"10.1109/ICDAR.2007.92","DOIUrl":null,"url":null,"abstract":"When reading a document, we intuitively have a first global approach in order to determine the whole structure, before reading parts in details. We propose to apply the same kind of mechanism by introducing the concept of multiresolution in an existing generic method for structured document recognition. This new combination of different vision levels makes it possible to recognize low structured documents. We present our work on an example: the multiresolution description of archive documents that are naturalization decree registers from the 19th and 20th century. The validation has been made on 85,088 images. Integrated in a platform for archive documents, the located elements offers to users a fast leaf through naturalization decrees.","PeriodicalId":279268,"journal":{"name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Contribution of Multiresolution Description for Archive Document Structure Recognition\",\"authors\":\"Aurélie Lemaitre, J. Camillerapp, Bertrand Coüasnon\",\"doi\":\"10.1109/ICDAR.2007.92\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When reading a document, we intuitively have a first global approach in order to determine the whole structure, before reading parts in details. We propose to apply the same kind of mechanism by introducing the concept of multiresolution in an existing generic method for structured document recognition. This new combination of different vision levels makes it possible to recognize low structured documents. We present our work on an example: the multiresolution description of archive documents that are naturalization decree registers from the 19th and 20th century. The validation has been made on 85,088 images. Integrated in a platform for archive documents, the located elements offers to users a fast leaf through naturalization decrees.\",\"PeriodicalId\":279268,\"journal\":{\"name\":\"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.2007.92\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2007.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 12

摘要

在阅读文档时，我们会先直观地采用全局方法来确定整个结构，然后再详细阅读部分内容。我们建议通过在现有的结构化文档识别通用方法中引入多分辨率的概念来应用相同的机制。这种不同视觉层次的新组合使得识别低结构化文档成为可能。我们在一个例子上展示了我们的工作:档案文件的多分辨率描述，这些文件是19世纪和20世纪的入籍法令登记册。在85,088张图像上进行了验证。集成在存档文件的平台中，定位的元素为用户提供了快速浏览入籍法令的方式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Contribution of Multiresolution Description for Archive Document Structure Recognition

When reading a document, we intuitively have a first global approach in order to determine the whole structure, before reading parts in details. We propose to apply the same kind of mechanism by introducing the concept of multiresolution in an existing generic method for structured document recognition. This new combination of different vision levels makes it possible to recognize low structured documents. We present our work on an example: the multiresolution description of archive documents that are naturalization decree registers from the 19th and 20th century. The validation has been made on 85,088 images. Integrated in a platform for archive documents, the located elements offers to users a fast leaf through naturalization decrees.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)

自引率

0.00%

发文量