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

Authors:
S. Mandal;S. P. Chowdhury;A. K. Das;Bhabatosh Chanda
Affiliations:
Bengal Engineering and Science University, Shibpur, Howrah, India;Bengal Engineering and Science University, Shibpur, Howrah, India;Bengal Engineering and Science University, Shibpur, Howrah, India;Indian Statistical Institute, Kolkata, India
Venue:
Proceedings of the 2006 ACM symposium on Applied computing
Year:
2006

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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.