Construction of knowledge-based next generation document
| Project/Area Number |
11558043
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| Research Category |
Grant-in-Aid for Scientific Research (B).
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
情報システム学(含情報図書館学)
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| Research Institution | Tohoku University |
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Principal Investigator |
KATO Nei Tohoku University, Graduate School of Information Sciences, Associate Professor, 大学院・情報科学研究科, 助教授 (00236168)
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| Co-Investigator(Kenkyū-buntansha) |
SUZUKI Masato Tokyo National College of Technology, Department of Computer Science, Associate Professor, 情報工学科, 助教授 (50290721)
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| Project Period (FY) |
1999 – 2000
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| Project Status |
Completed (Fiscal Year 2000)
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| Budget Amount *help |
¥5,000,000 (Direct Cost: ¥5,000,000)
Fiscal Year 2000: ¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 1999: ¥3,300,000 (Direct Cost: ¥3,300,000)
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| Keywords | document recognition / character recognition / knowledge processing / 認識システム |
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| Research Abstract |
Character recognition technology is an important technology for the new 21th century. In this research, we proposed a knowledge-based document recognition system. Segmentation technique, recognition technique and knowledge-based post-processing technique are the three main parts of this system. As the result, we applied the proposed system to a handwritten address recognition system and obtained a very high recognition rate. The test sample are 1,840, which collected by the Ministry of Post and Telecommunications. The recognition rate is beyond 90%, and the missed rate is below 2%. The reject rate is around 18%.
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Report
(3 results)
Research Products
(17 results)
