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PERFORMANCE IMPROVING METHOD OF GRAPHEME BASED HANGUL RECOGNIZER

机译:基于图的Hangul识别器的性能改进方法

摘要

Determine whether the present invention relates to a perilla-based character recognizer performance enhancement, the method comprising: classifying basil combination type for a character image included in the document image, on the basis of the classification basil combination type it includes a trailing in the text image granulomatous or without determination step, basil classification step of classifying the basil included in the character image on the basis of the determination result of the trailing presence determination step, on the basis of the determination result of the trailing or absence decision step of herbicidal classified in the basil classification method comprising: but recognize the consonant, a medial vowel and / or trailing consonant, a medial vowel recognition is a leading consonant, a neutral recognized by the Phoneme recognition step, the Phoneme recognition steps executed on the basis of the recognition reliability of the leading consonant and / or trailing consonant and a collection and / or basil in combination the steps of combining a recognition result of the trailing consonant. Therefore, so that the leading consonant and a trailing by using the consonant recognition information to a medial vowel recognition it is possible to increase the collection of recognition, the sum of recognition confidence value of a leading consonant and a trailing consonant first one to recognize the bar relatively recognized as difficult neutral by multiplying the maximum value of the bar, and then normalizing the neutral characteristic values ​​normalize the consonant recognition confidence values ​​and the collection featured value value is distributed in mutually different effective cycle of the recognition of the neutral bar, not biased to the characteristic value the value of the credit value or set of consonant because there is an effect that it is possible to obtain a stable recognition.
机译:确定本发明是否与基于紫苏的字符识别器性能增强有关,该方法包括:基于分类罗勒组合类型,在文档图像中包括的字符图像的罗勒组合类型分类,包括文本中的尾部。图像肉芽肿或无判定步骤,罗勒分类步骤,基于除草剂分类的尾随或不存在判定步骤的判定结果,基于尾随存在判定步骤的判定结果对字符图像中包含的罗勒进行分类在罗勒分类方法中,包括:但识别辅音,中间元音和/或尾随辅音,中间元音识别是前辅音,由音素识别步骤识别为中性,在识别的基础上执行音素识别步骤前辅音和/或尾随音的可靠性onant与集合和/或罗勒结合起来的步骤是组合尾随辅音的识别结果。因此,通过将辅音识别信息用于中间元音识别,可以使开头辅音和结尾辅音增加识别的收集,开头辅音和结尾辅音的第一个识别辅音的识别置信度值之和。通过将小节的最大值乘以小节,将小节相对识别为困难的小节,然后对中性特征值进行归一化,对辅音识别置信度值进行归一化,并将收集到的特征值分布在互不相同的识别有效周期内不影响信用额度值或辅音组值的特征值的中性线,因为它有可能获得稳定的识别。

著录项

  • 公开/公告号KR100479349B1

    专利类型

  • 公开/公告日2005-03-31

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20020079366

  • 发明设计人 김호연;남윤석;장승익;임길택;

    申请日2002-12-12

  • 分类号G06K9/20;

  • 国家 KR

  • 入库时间 2022-08-21 22:03:59

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