Presentation 2014-03-07
An image retrieval system for handwritten Japanese historical documents based on structural information of characters
Yuichiro IINO, Ryo ARAKAWA, Hiroaki NAGAOKA, Mitsuru NAKATA, Qi-Wei GE,
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Abstract(in English) In this paper, we propose an image retrieval system for handwritten Japanese historical documents. In this system, image data is stored together with feature graphs (document graph) which express structural information of characters written to each line of the image data. Structural information of a search string is specified by a feature graph (search graph). Images of historical documents of which partial region is similar to the search string are retrieved by obtaining a document graph with a similar subgraph to the search graph. To obtain document graph, in addition to the search graph, indispensable graph must be specified. The graph shows an indispensable structure which should be included in search results.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) image retrieval for consecutive handwritten character / feature graph / isomorphic sub-graph retrieval / approximate sub-graph retrieval
Paper # MSS2013-87
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Committee MSS
Conference Date 2014/2/27(1days)
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Registration To Mathematical Systems Science and its applications(MSS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An image retrieval system for handwritten Japanese historical documents based on structural information of characters
Sub Title (in English)
Keyword(1) image retrieval for consecutive handwritten character
Keyword(2) feature graph
Keyword(3) isomorphic sub-graph retrieval
Keyword(4) approximate sub-graph retrieval
1st Author's Name Yuichiro IINO
1st Author's Affiliation Graduate School of Education, Yamaguchi University()
2nd Author's Name Ryo ARAKAWA
2nd Author's Affiliation Graduate School of Education, Yamaguchi University
3rd Author's Name Hiroaki NAGAOKA
3rd Author's Affiliation Faculty of Education, Yamaguchi University
4th Author's Name Mitsuru NAKATA
4th Author's Affiliation Faculty of Education, Yamaguchi University
5th Author's Name Qi-Wei GE
5th Author's Affiliation Faculty of Education, Yamaguchi University
Date 2014-03-07
Paper # MSS2013-87
Volume (vol) vol.113
Number (no) 466
Page pp.pp.-
#Pages 4
Date of Issue