Reference line extraction from form documents with complicated backgrounds

Dihua Xi, Seong-Whan Lee
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引用次数: 6

Abstract

Form document analysis is one of the most essential tasksin document analysis and recognition. One of the most fundamentaland crucial tasks is the extraction of the referencelines which are contained in almost all form documents.This paper presents an efficient methodology for the complicatedgrey-level form image processing. We construct anon-orthogonal wavelet with adjustable rectangle supportsand offer algorithms for the extraction of the reference linesbased on the strip growth method using the multiresolutionwavelet sub images. We have compared this system with thepopular Hough transform (HT) based and the novel orthogonalwavelet based methods. As shown in the experiments,the proposed algorithmdemonstrates high performance andfast speed for the complicated form images. This system isalso effective for the form images with slight skew.
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从复杂背景的表单文档中提取参考线
格式文件分析是文件分析与识别中最重要的任务之一。最基本和最关键的任务之一是提取几乎所有表单文件中包含的参考资料。本文提出了一种处理复杂灰度形式图像的有效方法。我们构造了具有可调矩形支撑的非正交小波,并利用多分辨率小波子图像提出了基于条带生长法提取参考线的算法。我们将该系统与流行的基于霍夫变换(HT)和新的基于正交小波的方法进行了比较。实验结果表明,该算法在处理复杂形状图像时具有较高的性能和速度。该系统对于有轻微倾斜的表单图像也很有效。
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