| A Self-Learing Chinese Character Recognition System |
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| 引用本文： | Volker Muller,Zhang Ping. A Self-Learing Chinese Character Recognition System[J]. 保鲜与加工, 1996, 0(1): 40-45 |
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| 作者姓名： | Volker Muller Zhang Ping |
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| 作者单位： | Volker Muller; Zhang Ping |
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| 摘 要： | A method using possibility theory and fuzzy logic is introduced. Possibility functions of each feature are determined during training. Methods of fuzzy logic are used to combine the possibility of different features. This Chinese character recognition system consists of a pre-classifier and a two-level fine classifier. In order to handle deviations of the characters,a fuzzification of features is introduced. This method is used to develop single-font classifiers. The whole system consists of a font-classifiers and four single-font-classifiers.
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| 关 键 词： | s: printed/Chinese character recognition fuzzy loglc seft-learning |
A Self-Learing Chinese Character Recognition System |
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| Volker Muller,Zhang Ping. A Self-Learing Chinese Character Recognition System[J]. Storage & Process, 1996, 0(1): 40-45 |
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| Authors: | Volker Muller Zhang Ping |
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| Affiliation: | Volker Muller; Zhang Ping |
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| Abstract: | A method using possibility theory and fuzzy logic is introduced. Possibility functions of each feature are determined during training. Methods of fuzzy logic are used to combine the possibility of different features. This Chinese character recognition system consists of a pre-classifier and a two-level fine classifier. In order to handle deviations of the characters,a fuzzification of features is introduced. This method is used to develop single-font classifiers. The whole system consists of a font-classifiers and four single-font-classifiers. |
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| Keywords: | s: printed/Chinese character recognition fuzzy loglc seft-learning |
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