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Link to original content: https://doi.org/10.1117/12.171103
Information extraction from tabular drawings
Paper
23 March 1994 Information extraction from tabular drawings
Sanjay Balasubramanian, Surekha Chandran, Juan Arias, Rangachar Kasturi, Atul K. Chhabra
Author Affiliations +
Proceedings Volume 2181, Document Recognition; (1994) https://doi.org/10.1117/12.171103
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sanjay Balasubramanian, Surekha Chandran, Juan Arias, Rangachar Kasturi, and Atul K. Chhabra "Information extraction from tabular drawings", Proc. SPIE 2181, Document Recognition, (23 March 1994); https://doi.org/10.1117/12.171103
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CITATIONS
Cited by 6 scholarly publications and 1 patent.
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KEYWORDS
Optical character recognition

Image processing

Databases

Detection and tracking algorithms

Image quality

Image enhancement

Image resolution

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