Parallel Distributed Models with Inductive Learning Mechanism for Hand-written Characters Recognition
| Project/Area Number |
03650308
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
情報工学
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
EJIMA Toshiaki Kyushu Institute of Technology, 情報工学部, 教授 (00124553)
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| Co-Investigator(Kenkyū-buntansha) |
OHASHI Takeshi Kyushu Institute of Technology, 情報工学部, 助手 (00233239)
YOSHIDA Takaichi Kyushu Institute of Technology, 情報工学部, 助教授 (70200996)
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| Project Period (FY) |
1991 – 1992
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| Project Status |
Completed (Fiscal Year 1992)
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| Budget Amount *help |
¥1,900,000 (Direct Cost: ¥1,900,000)
Fiscal Year 1992: ¥400,000 (Direct Cost: ¥400,000)
Fiscal Year 1991: ¥1,500,000 (Direct Cost: ¥1,500,000)
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| Keywords | character recognition / neural networks / parallel distributed processing / learning / 並列 / 分散システム / ニュ-ラルネット / 汎化能力 / BPモデル / ファジィ / パ-セプトロン |
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| Research Abstract |
First, a character recognition system is developed based on a new neural networks called FPM. FPM is considered as a generalization of so called BP model, which is multi-layer perception proposed by Rumelhart in 1986 and is proved to be useful especially in pattern recognition. Next, to design a robust recognition system against noise, the following factors are considered to be solved: (1) rotation caused by image scanner (2) binary image from multi-gray scale image (3) removal of noise (4) features being robust against distortion (5) segmentation (6) utilization of knowledge about shape of each character Finally, a much improved character recognition system, which is successful in integrating different kinds of techniques concerning above issues, is developed.
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Report
(3 results)
Research Products
(13 results)
