Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
531003 | Pattern Recognition | 2007 | 13 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Xi-wen Zhang, Michael R. Lyu, Guo-zhong Dai,