A Multi-Agent Based Method for Extracting Characters and Character Strings (Special Issue on Character Recognition and Document Understanding)

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概要

• 論文の詳細を見る

• This paper describes COCE (Coordinative Character Extractor), a method for extracting printed Japanese characters and their character strings from all sorts of document images. COCE is based on a multi-agent system where each agent tries to find a character string and extracts the characters in it. For the adaptability, the agents are allowed to look after arbitrary parts of documents and extract the characters using only the knowledge independent of the layouts. Moreover, the agents check and correct their results sometimes with the help of the other agents. From experimental results, we have verified the effectiveness of our approach.

• 社団法人電子情報通信学会の論文
• 1996-05-25

著者

• Kakusho Koh

  I.s.i.r. Osaka University

• Kitahashi T

  Osaka Univ. Ibaraki‐shi Jpn

• Babaguchi N

  Osaka Univ. Ibaraki‐shi Jpn

• Babaguchi Noboru

  I.s.i.r Osaka University

• GYOHTEN Keiji

  I.S.I.R., Osaka University

• SUMIYA Tomoko

  I.S.I.R., Osaka University

• KITAHASHI Tadahiro

  I.S.I.R., Osaka University

• Gyohten Keiji

  I.s.i.r. Osaka University:mitsubishi Electric Corp.

• Sumiya Tomoko

  I.s.i.r. Osaka University:toppan Printing Co. Ltd.

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)
• Constraint Satisfaction Approach to Extraction of Japanese Character Regions from Unformatted Document Image

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