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Computer aided Tabular Data Extraction has always been a very challenging anderror 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 realmof document comprehension. Given the different kinds of the Tabular formatsthat are often found across various documents, we discuss a novel approachusing Computer Vision for extraction of tabular data from images or vectorpdf(s) converted to image(s).

TableZa -- A classical Computer Vision approach to Tabular Extraction