Error correction of Korean courtesy amounts in bank slips using rule information and cross-referencing

T. Jee, Eun-Jin Kim, Yillbyung Lee
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引用次数: 7

Abstract

In this paper, we designed a Korean courtesy amounts recognizer which improves error correction results in recognized character strings. We use two properties of Korean character strings for the post-processor of Korean courtesy amounts. First, there are syntactic rules in character strings. Using this property, we can correct errors in Korean courtesy amounts. This kind of error correction is restricted only to the Korean characters representing the unit of the amounts. Second, we can compare the Korean courtesy amount with the legal amount, and vice versa. Using this property, we can correct errors of the Korean characters representing numerals. With the help of these two properties, we designed the rule post-processing algorithm and the cross-referencing algorithm. The first Korean character recognizer shows a 95.49% recognition rate. For a post-processed Korean character string, the recognizer of Korean courtesy amounts shows 99.26% reliability.
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使用规则信息和交叉参考修正银行水单中韩文礼貌金额的错误
本文设计了一个韩文礼貌金额识别器,提高了识别字符串的纠错效果。我们使用两个韩文字符串属性作为韩文礼金的后处理器。首先,字符串中有语法规则。利用这一特性,我们可以纠正韩语礼节金额中的错误。这种纠错仅限于表示金额单位的韩文字符。第二,我们可以比较一下韩国礼节金额和法定金额,反之亦然。利用这个特性,我们可以纠正表示数字的韩文字符的错误。利用这两个特性,设计了规则后处理算法和交叉引用算法。第一个韩文字符识别器的识别率为95.49%。对于后处理的韩文字符串,韩文礼金识别器的可靠性为99.26%。
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A two-step algorithm and its parallelization for the generation of minimum containing rectangles for document image segmentation Error correction of Korean courtesy amounts in bank slips using rule information and cross-referencing An off-line signature verification system using an extracted displacement function Quality evaluation of document segmentation results Handwritten numeral string recognition with stroke grouping
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