arxiv:2105.09137

TableZa -- A classical Computer Vision approach to Tabular Extraction

Published on May 19, 2021

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Abstract

Computer vision techniques are proposed to extract tabular data from document images while preserving spectral and spatial consistency.

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Computer aided Tabular Data Extraction has always been a very challenging and error prone task because it demands both Spectral and Spatial Sanity of data. In this paper we discuss an approach for Tabular Data Extraction in the realm of document comprehension. Given the different kinds of the Tabular formats that are often found across various documents, we discuss a novel approach using Computer Vision for extraction of tabular data from images or vector pdf(s) converted to image(s).

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