A feature point clustering approach to the segmentation of form documents

Kuo-Chin Fan, J. Lu, Jiing-Yuh Wang
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引用次数: 1

Abstract

Among various kinds of documents, forms are one of the important types. The prerequisite for form optical character recognition (Form OCR) is the extraction of characters from form documents. The authors present a clustering based technique for extracting characters from form documents. In this method, they treat the character extraction process as a pattern clustering problem. The feasibility of the novel method is demonstrated through experimenting various kinds of forms. Experimental results reveal the feasibility of the novel method.
基于特征点聚类的表单文档分割方法
在各类文件中,表格是重要的文件类型之一。表单光学字符识别(form OCR)的前提是从表单文档中提取字符。提出了一种基于聚类的从表单文档中提取字符的技术。在该方法中,他们将字符提取过程视为一个模式聚类问题。通过各种形式的实验,证明了新方法的可行性。实验结果表明了该方法的可行性。
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