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Average Fuzzy Direction Based Handwritten Chinese Characters Recognition Approach

机译:基于平均模糊方向的手写汉字识别方法

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Since handwritten Chinese characters' style is uncertain and differs as people differ, this article brings forward a new Average Fuzzy Direction Code based on weight, so as to conquer traditional fuzzy arithmetic's shortcoming that is without enough generalization capability; At the same time it improves association rules in data mining and applies it to the process of handwritten Chinese characters' generalization and picking up of their abstract attributes. Thus exact denotation of handwritten Chinese characters is resolved, and simultaneously it picks up the handwritten Chinese characters' characteristic and mines improved association rules, and further achieves the purpose of handwritten Chinese characters' quick recognition. Therefore it resolves traditional pattern identification's problem of poor adaptability.
机译:由于手写的汉字的风格是不确定的,而且随着人们的不同而不同,这篇文章提出了基于重量的新的平均模糊方向码,以征服传统的模糊算术的缺点,没有足够的概括能力;同时它可以提高数据挖掘中的关联规则,并将其应用于手写的汉字的泛化过程和拾取其抽象属性。因此,解决了手写汉字的精确表示,并同时挑选了手写的汉字的特征和矿山改进了关联规则,并进一步实现了手写汉字的快速识别的目的。因此,它解决了传统的模式识别的适应性差的问题。

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