Character recognition system with cooperation of pattern and symbolic processing
| Autor: | Hiroshi Yamamoto, Hisao Niwa, Kazuhiro Kayashima, Yasuharu Shimeki, Yoshihiro Kojima, Susumu Maruno |
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| Rok vydání: | 1995 |
| Předmět: |
Artificial neural network
Computer science Intelligent character recognition Speech recognition media_common.quotation_subject Information processing Image processing Theoretical Computer Science Computational Theory and Mathematics Hardware and Architecture Pattern recognition (psychology) Quality (business) Character recognition Information exchange Information Systems media_common |
| Zdroj: | Systems and Computers in Japan. 26:47-58 |
| ISSN: | 1520-684X 0882-1666 |
| Popis: | A newly developed character recognition method is proposed that can be applied to low quality printed documents. In this method, the cooperation of pattern processing with neural networks and symbolic processing with knowledge of language is adopted. If errors occur at one part, another part detects it and sends the error information to all parts. After successive iterations until no error is detected, a recognition result is obtained. A character recognition of 98.4 percent is obtained with this method. This rate is 2.8 percent higher than the result of a conventional method with no information exchange among processing parts. |
| Databáze: | OpenAIRE |
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