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Proceedings Paper

Information extraction from tabular drawings
Author(s): Sanjay Balasubramanian; Surekha Chandran; Juan Arias; Rangachar Kasturi; Atul K. Chhabra
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Paper Abstract

This paper presents efficient methodologies to extract information from tabular drawings representing telephone cable interconnections. These tables include records of cable counts, cables in service, assignment charts, and cable running and wiring lists. An interesting problem in these drawings is that the changes to the data are occasionally recorded by crossing out entries and appending the changes rather than redrawing the entire documents. The objective of the work described here is the extraction of information contained in these table structured documents to facilitate the creation of a computer database. Our software system makes use of contextual information in these drawings (e.g., a particular line pattern is used to represent repeated entries, ignore crossed-out entries, etc.). The system uses features like inter-line spacing, length of lines, line orientation, and start and end locations of the lines to detect the diagonal lines and vertical lines with demarcations. Experimental results are also included.

Paper Details

Date Published: 23 March 1994
PDF: 12 pages
Proc. SPIE 2181, Document Recognition, (23 March 1994); doi: 10.1117/12.171103
Show Author Affiliations
Sanjay Balasubramanian, The Pennsylvania State Univ. (United States)
Surekha Chandran, The Pennsylvania State Univ. (United States)
Juan Arias, The Pennsylvania State Univ. (United States)
Rangachar Kasturi, The Pennsylvania State Univ. (United States)
Atul K. Chhabra, NYNEX Science and Technology (United States)


Published in SPIE Proceedings Vol. 2181:
Document Recognition
Luc M. Vincent; Theo Pavlidis, Editor(s)

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