Extraction and segmentation of tables from Chinese ink documents based on a matrix model

Authors:
Xi-wen Zhang;Michael R. Lyu;Guo-zhong Dai
Affiliations:
Laboratory of Human-Computer Interaction and Intelligent Information Processing, Institute of Software, The Chinese Academy of Sciences, Beijing 100080, China and Department of Computer Science an ...;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China;Laboratory of Human-Computer Interaction and Intelligent Information Processing, Institute of Software, The Chinese Academy of Sciences, Beijing 100080, China
Venue:
Pattern Recognition
Year:
2007

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Abstract

This paper presents an approach for extracting and segmenting tables from Chinese ink documents based on a matrix model. An ink document is first modeled as a matrix containing ink rows, including writing and drawing ones. Each row consists of collinear ink lines containing ink characters. Together with their associated drawing rows, adjacent writing rows having an identical distribution of writing lines and@?or the same associated drawing rows if available are extracted to form a table. Row and column headers, nested sub-headers and cells are identified. Experiments demonstrate that the proposed approach is more effective and robust.