2021/05/19 by Banthia, Saumya, Sharma, Anantha, Mangipudi, Ravi
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.5.1 #I.5.2 #I.5.4 #Information Retrieval (cs.IR)
paper · doi:10.48550/arxiv.2105.09137
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).