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Recognizing Japanese brush script in image

Research Project

Project/Area Number 16K12545
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Library and information science/Humanistic social informatics
Research InstitutionNational Institute of Japanese Literature

Principal Investigator

Nomoto Tadashi  国文学研究資料館, 研究部, 准教授 (20321557)

Co-Investigator(Kenkyū-buntansha) 相田 満  国文学研究資料館, 研究部, 准教授 (00249921)
Research Collaborator Terasawa Kengo  
Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Keywordsくずし字 / 画像検索 / 文字画像認識 / 深層学習 / 文字認識 / 日本古典籍 / 毛筆画像解析 / 画像処理 / 人口知能 / 情報検索 / 毛筆画像
Outline of Final Research Achievements

The goal of the present work is to develop an approach that enables the recognition of Japanese bush scripts in image without resorting to OCRs or hand annotated labels. To this end, we considered three approaches: (1) an approach which maps a modern Kanji into a corresponding Kuzushi-ji, which comes in a variety of shapes and forms, and uses the latter to identify a Kuzushi-ji character we are interested in; (2) an alternative approach where we use a modern Kanji in place of Kuzushi-ji to do the identification; (3) finally, one which leverages CycleGan to generate a pseudo Kuzushi-ji which we use as a query to match against the image. The experiments found that the first method, one which relies on the mapping of a modern Kanji into a possible Kuzushi-ji performed significantly better than the rest, suggesting that the recognition of Kuzushi-ji character has benefitted greatly from the use of the mapping.

Academic Significance and Societal Importance of the Research Achievements

デジタル技術の発展に伴い国内の歴史的典籍が大量にデジタル化されアーカイブされている.それらのほとんどは画像形式で保存されているため,キーワードによる自由な検索ができず,コンテンツの再利用や知財化へ向けた取組みの大きな障壁になっている.手動あるいはOCRによる翻刻を用いた検索なども提案されているが実用の域に達していない.この点において本件は有用な貢献が期待できる.

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (6 results)

All 2018 2017 2016

All Journal Article (3 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 2 results,  Open Access: 1 results) Presentation (3 results) (of which Int'l Joint Research: 1 results,  Invited: 1 results)

  • [Journal Article] Resolving Citation Links with Neural Networks2018

    • Author(s)
      Tadashi Nomoto
    • Journal Title

      Frontiers in Research Metrics and Analysis

      Volume: 0 Pages: 1-18

    • DOI

      10.3389/frma.2018.00031

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] A Neurally Enhanced Approach to Linking Citation to Reference.2016

    • Author(s)
      Tadashi Nomoto
    • Journal Title

      Joint Conference on Digital Libraries

      Volume: 1

    • Related Report
      2016 Research-status Report
    • Peer Reviewed
  • [Journal Article] .ニューラルネットを用いた引用リンクの解消2016

    • Author(s)
      野本忠司
    • Journal Title

      情報処理学会 SIG-IFAT 研究報告

      Volume: 1

    • Related Report
      2016 Research-status Report
  • [Presentation] 100歳を迎えたリーダビリティー研究:その誕生から最新動向まで2017

    • Author(s)
      野本忠司
    • Organizer
      テキストマイニングシンポジウム
    • Place of Presentation
      ティーオージー会議室 大阪駅前第3ビル(大阪府大阪市
    • Year and Date
      2017-02-09
    • Related Report
      2016 Research-status Report
    • Invited
  • [Presentation] A Neurally Enhanced Approach to Linking Citation to Reference.2016

    • Author(s)
      Tadashi Nomoto
    • Organizer
      Joint Conference on Digital Libraries
    • Place of Presentation
      Rutgers University(アメリカ・ニュージャージー州)
    • Year and Date
      2016-06-19
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] Going Amphibian: A Two-Pronged Approach to Finding What the News is About2016

    • Author(s)
      Tadashi Nomoto
    • Organizer
      Microsoft Research - Korea/Japan Academic Day
    • Place of Presentation
      日本マイクロソフト本社(東京都港区)
    • Related Report
      2016 Research-status Report

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Published: 2016-04-21   Modified: 2020-03-30  

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