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Character recognition based on attribute-dependent programmed grammar

机译:基于属性相关的编程语法的字符识别

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The recognition of Korean characters by a syntactic method is considered. Korean characters are composed of phonetic symbols in two dimensions and contain very little redundancy. In addition, the phonetic symbols in each character are different in shape and number depending on how they are composed. Thus, attribute information is important. A Korean character recognition algorithm based on an attribute-dependent programmed grammar is presented. The preprocessing and primitive extraction algorithm is also described. The algorithm was implemented and tested with more than 9600 Korean characters in pages randomly selected from children's story books. The algorithm based on the attribute-dependent programmed grammar recognized characters reasonably quickly, with more than 95.1% accuracy.
机译:考虑通过句法方法识别朝鲜语字符。朝鲜语字符由二维的语音符号组成,几乎没有冗余。另外,每个字符中的语音符号在形状和数量上都不同,这取决于它们的组成方式。因此,属性信息很重要。提出了一种基于属性依赖的编程语法的韩文字符识别算法。还描述了预处理和原始提取算法。从儿童故事书中随机选择的页面中,使用9600多个朝鲜语字符实施并测试了该算法。该算法基于属性相关的编程语法,可以相当快地识别字符,准确率超过95.1%。

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