Art
J-GLOBAL ID：201902289248766750
Reference number：19A0604849
Text Segmentation for Japanese Historical Documents using Fully Convolutional Neural Network
完全畳込みニューラルネットワークを用いた日本の歴史的文書のためのテキストセグメンテーション
Author (5)：
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Material：
Volume：
2019
Issue：
CH-119
Page：
Vol.2019-CH-119,No.3,1-5 (WEB ONLY)
Publication year：
Feb. 09, 2019
JST Material Number：
U0451A
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
ENGLISH (EN)
Thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (4)：
JST classification
Category name(code) classified by JST.
Pattern recognition
, Artificial intelligence
, Natural language processing
, I/O units
Reference (16)：
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S. Nicolas, T. Paquet, and L. Heutte, “Enriching Historical Manuscripts: The Bovary Project,” in Document Analysis Systems VI, S. Marinai and A. R. Dengel, Eds. Springer, Berlin, Heidelberg, 2004, pp. 135-146.
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B. Gatos, K. Ntzios, I. Pratikakis, S. Petridis, T. Konidaris, and S. J. Perantonis, “An efficient segmentation-free approach to assist old Greek handwritten manuscript OCR,” Pattern Anal. Appl., vol. 8, no. 4, pp. 305-320, Feb. 2006.
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T. M. Rath and R. Manmatha, “Word spotting for historical documents,” Int. J. Doc. Anal. Recognit., vol. 9, no. 2-4, pp. 139-152, 2007.
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A. Kitadai, J. Takakura, M. Ishikawa, M. Nakagawa, H. Baba, and A. Watanabe, “Document Image Retrieval to Support Reading Mokkans,” in Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, 2008, pp. 533-538.
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A. Fischer, H. Bunke, N. Naji, J. Savoy, M. Baechler, and R. Ingold, “The HisDoc project. automatic analysis, recognition, and retrieval of handwritten historical documents for digital libraries,” in Proceedings of the InterNational and InterDisciplinary Aspects of Scholarly Editing, 2012, pp. 81-96.
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Terms in the title (5)：
Terms in the title
Keywords automatically extracted from the title.
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