A study on Identifying Ages of Japanese Historical Documents
Project/Area Number |
19500214
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
情報図書館学・人文社会情報学
|
Research Institution | Yamaguchi University |
Principal Investigator |
NAKATA Mitsuru Yamaguchi University, 教育学部, 准教授 (60304466)
|
Co-Investigator(Kenkyū-buntansha) |
KATSU Ki 山口大学, 教育学部, 教授 (30263750)
YOSHIMURA Makoto 山口大学, 教育学部, 教授 (70141116)
|
Project Period (FY) |
2007 – 2010
|
Project Status |
Completed (Fiscal Year 2010)
|
Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2010: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2008: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2007: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
|
Keywords | 手書き文字認識 / 異体字認識 / グラフ理論 / 特徴グラフ / 適合度 / 古文献文字認識 / 手書き続け文字認識 / 同型部分グラフ / 文字認識 / 古文献 / クラスタリング / 曲頂点追加 |
Research Abstract |
We have proposed a character recognition method for consecutive handwritten characters written in Japanese historical documents and implemented a prototype recognition program based on this method. In our method, structures of the characters are represented by feature graphs and dictionary storing known characters is prepared for character recognition. The similarities between feature graphs of target characters and dictionary characters are calculated, and the target character is recognized as the dictionary character with the highest similarity. The computational experiment using our proposed method has been done for the characters written in The Tale of Genji. As the result, we have the recognition rates 76.6% for non-consecutive target characters and 54% for consecutive target characters.
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Report
(6 results)
Research Products
(37 results)