Handwritten Character Recognition Adaptable to the Writer

Handwritten Character Recognition Adaptable to the Writer
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适合书写者的手写字符识别

DOI:
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发表时间:
1988
期刊:
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影响因子:
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通讯作者:
Y. Miyake
Y. Miyake
中科院分区:
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文献类型:
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作者:
S. Tsuruoka;Hiroyuki Morita;F. Kimura;Y. Miyake

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被引文献

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本文描述了一种适合于书写者的手写体字符识别方法。当特定的作者对许多字符使用相同的OCR时,这是有效的。在早期阶段,输入的字符使用genera 1字典识别,然后正确识别的字符修改字典以适应特定作者的字符的变化。使用10个字/类的自适应字典,分类正确率由普通字典的96.8%提高到99.5%。
I n this paper, we describe the handwritten character recognition adaptable to the writer. I t is efficient when the specific writer uses the same OCR for many characters. At the early stage, input characters are recognized using genera 1 dictionary, and then the correctly recognized character modify the dictionary to be adaptable to the variation of the characters of the specific writer. Using the adaptable dictionary modif ied by 10 characters/category, the classification rate is improved from 96.8% ( general dictionary ) to 99.5%.