Detection and segmentation of tables and math-zones from document images

Sekhar Mandal, S. Chowdhury, A. Das, B. Chanda
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引用次数: 3

Abstract

We propose an algorithm to separate out tables and math-zones from document images. The algorithm relies on the spatial characteristics of tables and math-zones in a document. It has been observed that tables have distinct columns which imply that gaps between the fields are substantially larger than the gaps between the words in text lines and in math-zones the characters and symbols are less dense in comparison to normal text lines. These deceptively simple observations have led us to design a simple but powerful table and math-zone detection system with low computation cost.
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从文档图像中检测和分割表和数学区域
我们提出了一种从文档图像中分离表格和数学区域的算法。该算法依赖于文档中表和数学区域的空间特征。人们观察到,表有不同的列,这意味着字段之间的间隙比文本行中单词之间的间隙大得多,而在数学区中,字符和符号的密度比正常文本行要低。这些看似简单的观察结果使我们设计了一个简单但功能强大、计算成本低的表和数学区检测系统。
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