Form document identification using line structure based features

Kuo-Chin Fan, Mei-Lin Chang, Yuan-Kai Wang
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引用次数: 9

Abstract

Form recognition is one of the special applications of document analysis (DA). We present a novel form recognition method by analyzing the line structure embedded in an input form document. First, all vertical and horizontal lines embedded in the form image are extracted. By analyzing the crossing relationships among horizontal lines and vertical lines, a line crossing relationship matrix can be built with each row corresponding to one horizontal line and each column corresponding to one vertical line. Moreover two line distance relationship matrices, horizontal and vertical line distance relationship matrices, are built by analyzing the distance relationships among horizontal lines and vertical lines, respectively. Last, the recognition task is performed by matching these three matrices. Experimental results reveal the feasibility and efficiency of our proposed method in recognizing form documents.
使用基于线条结构的特征进行表单文档识别
表单识别是文档分析(DA)的一个特殊应用。通过分析嵌入在输入表单文档中的线条结构,提出了一种新的表单识别方法。首先,提取嵌入到表单图像中的所有垂直线和水平线。通过分析水平线和垂直线之间的交叉关系,可以建立一个线条交叉关系矩阵,每一行对应一条水平线,每一列对应一条垂直线。通过分析水平线和垂直线之间的距离关系,分别建立了水平线和垂直线之间的距离关系矩阵。最后,通过匹配这三个矩阵来完成识别任务。实验结果表明了该方法在表单文档识别中的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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