Qualitative/fuzzy approach to document recognition

H. Fujihara, E. Babiker
{"title":"Qualitative/fuzzy approach to document recognition","authors":"H. Fujihara, E. Babiker","doi":"10.1109/CAIA.1992.200038","DOIUrl":null,"url":null,"abstract":"Qualitative and fuzzy representations are presented for modeling the geometric and topological attributes of orthogonal image blocks in a document layout. Qualitative models provide a compact representation since there is no absolute metric; at the same time they preserve much of the important information such as tangency relations and symmetry. A fuzzy logic approach allows some degree of uncertainty in recognizing document blocks and modeling human perception. It is shown that using qualitative reasoning in conjunction with fuzzy logic permits the production of a model that is capable of handling a wider class of documents despite variable locations and sizes of the blocks in the document. The model is based on a new point-interval representation which retains both topological and geometrical attributes of the block regions within a qualitative nonnumeric framework, and a grade of membership vector for each block.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth Conference on Artificial Intelligence for Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIA.1992.200038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Qualitative and fuzzy representations are presented for modeling the geometric and topological attributes of orthogonal image blocks in a document layout. Qualitative models provide a compact representation since there is no absolute metric; at the same time they preserve much of the important information such as tangency relations and symmetry. A fuzzy logic approach allows some degree of uncertainty in recognizing document blocks and modeling human perception. It is shown that using qualitative reasoning in conjunction with fuzzy logic permits the production of a model that is capable of handling a wider class of documents despite variable locations and sizes of the blocks in the document. The model is based on a new point-interval representation which retains both topological and geometrical attributes of the block regions within a qualitative nonnumeric framework, and a grade of membership vector for each block.<>
文档识别的定性/模糊方法
提出了一种定性和模糊表示,用于对文档布局中正交图像块的几何和拓扑属性进行建模。定性模型提供了一个紧凑的表示,因为没有绝对度量;同时,它们保留了许多重要的信息,如切线关系和对称性。模糊逻辑方法允许在识别文档块和建模人类感知方面存在一定程度的不确定性。结果表明,使用定性推理与模糊逻辑相结合,可以生成一个模型,该模型能够处理更广泛的文档类别,尽管文档中块的位置和大小是可变的。该模型基于一种新的点间隔表示,该表示在定性非数值框架内保留了块区域的拓扑和几何属性,并为每个块提供了等级的隶属向量
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