Representing, Utilizing and Acquiring Knowledge for Document Image Understanding (Special Issue on Document Analysis and Recognition)

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概要

• 論文の詳細を見る

• This paper discusses the role of knowledge in document image understanding from the viewpoints of representation, utilization and acquisition. For the representation of knowledge, we propose two models, a layout model and a content model, which represent knowledge about the layout structure and content of a document, respectively. For the utilization of knowledge, we implement layout analysis and content analysis which utilize a layout model and a content model, respectively. The strategy of hypothesis generation and verification is introduced in order to integrate these two kinds of analysis. For the acquisition of knowledge, we propose a method of incremental acquistion of a layout model from a stream of example documents. From the experimental results of document image understanding and knowledge acquisition using 50 samples of visiting cards, we verified the effectiveness of the proposed method.

• 社団法人電子情報通信学会の論文
• 1994-07-25

著者

• Kise K

  Osaka Prefecture Univ. Sakai‐shi Jpn

• Kise Koichi

  College Of Engineering University Of Osaka Prefecture

• Babaguchi Noboru

  I.S.I.R, Osaka University

• Babaguchi Noboru

  I.s.i.r Osaka University

関連論文

• Representing, Utilizing and Acquiring Knowledge for Document Image Understanding (Special Issue on Document Analysis and Recognition)
• A Multi-Agent Based Method for Extracting Characters and Character Strings (Special Issue on Character Recognition and Document Understanding)

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