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Handwritten Chinese character analysis and preclassification using stroke structural sequence

机译:使用笔画结构序列的手写汉字分析和预分类

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A unique stroke ordering for handwritten Chinese characters is desirable in many applications including efficient character recognition and automatic radical extraction. Although there are some rules or conventions for writing Chinese characters, yet no consistent and complete rule set is available. Besides special radical knowledge is often needed. It is the purpose of this paper to propose a set of rules for stroke ordering for producing a unique stroke sequence for Chinese characters. It requires no special radical knowledge or knowledge of character block layouts, so it is easy for machine implementation. Moreover, the stroke sequences derived are similar to those given in the dictionary, if not the same. To deal with the writing, variations among writers, we generalize the derived stroke structure sequence to obtain a more consistent stroke information. This generalized stroke structural sequence can be used in the handwritten Chinese character preclassification. Experiments showing applications of our method are reported.
机译:在许多应用中,包括高效的字符识别和自动部首提取,都需要对手写汉字进行独特的笔划排序。尽管有一些书写汉字的规则或约定,但是尚无一致而完整的规则集。除此以外,通常还需要特殊的基本知识。本文的目的是提出一组笔画排序规则,以产生汉字唯一的笔画序列。它不需要特殊的基本知识或字符块布局知识,因此很容易实现机器。而且,导出的笔画序列如果不相同,则与字典中给出的笔画序列相似。为了应对作者之间的书写,变化,我们对派生的笔画结构序列进行了概括,以获得更一致的笔画信息。这种广义的笔画结构序列可用于手写汉字预分类。实验表明了我们方法的应用。

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