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FEATURE-BASED OFF-LINE RECOGNITION OF DEGRADED NUMERAL CHARACTERS

机译:基于功能的离线识别劣化数字字符

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摘要

This paper proposes an integrated scheme for identifying segmented degraded numeral characters in gray images. The scheme consists of distinguishing foreground from background, wiping off mottles, cutting margins, calculating features, and recognizing numerals by the classifier established based on the measure of medium truth degree and several features selected by logistic regression. The experimental results show that the proposed approach performs well on recognition of degraded numeral characters.
机译:本文提出了一种集成方案,用于识别灰色图像中的分段劣化的数字字符。该方案包括在基于中等真理程度的测量和由Logistic回归选择的几个特征建立的分类器来区分从背景中的前景,擦除斑驳,切割边缘,计算特征和识别数字。实验结果表明,该方法对识别劣化的数字特征进行了良好。

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