On-Line Japanese Character Recognition Based on Flexible Pattern Matching Method Using Normalization-Cooperative Feature Extraction (Special Issue on Document Analysis and Recognition)
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概要
- 論文の詳細を見る
This paper shows that when a pattern matching method used in optical character readers is highly accurate, it can be used effectively in on-line Japanese character recognition. Stroke matching methods used in previous conventional on-line character recognition have restricted the number and the order of strokes. On the other hand, orientation-feature pattern matching methods avoid these restrictions. The authors have improved a pattern matching method with the development in the flexible pattern matching (FPM) method, based on nonlinear shape normalization and nonlinear pattern matching, which includes the normalization-cooperative feature extraction (NCFE) method. These improvements have increased the recognition rate from 81.9% to 95.9%, when applied to the off-line database ETL- from the Electrotechnical Laboratory, Japan. When applied on-line to the examination of 151,533 Kanji and Hiragana characters in 3,036 categories, the recognition rate achieved 94.0%, while the cumulative recognition rate within the best ten candidates was 99.1%.
- 一般社団法人電子情報通信学会の論文
- 1994-07-25
著者
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Yamada Keiji
Information Technology Research Laboratories Nec Corporation
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Hamanaka Masahiko
Information Technology Research Laboratories, NEC Corporation
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Tsukumo Jun
Information Technology Research Laboratories, NEC Corporation
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Tsukumo Jun
Information Technology Research Laboratories Nec Corporation
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Hamanaka Masahiko
Information Technology Research Laboratories Nec Corporation
関連論文
- On-Line Japanese Character Recognition Based on Flexible Pattern Matching Method Using Normalization-Cooperative Feature Extraction (Special Issue on Document Analysis and Recognition)
- Adaptive Processing Parameter Adjustment by Feedback Recognition Method with Inverse Recall Neural Network Model (Special Issue on Document Analysis and Recognition)