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TableZa -- A classical Computer Vision approach to Tabular Extraction

arXiv 2105.09137 ↗First posted 19 May 2021cs.CL cs.CV cs.IRcited by 0

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Abstract (arXiv)

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).

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 7 references that are in the map. First posted on arXiv 19 May 2021.

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References · 1

  1. 2020CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documentscited by 98

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