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Extracting line features from images of business forms and tables

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1 Author(s)
A. Pizano ; Software Res. Center, Ricoh Corp., Santa Clara, CA, USA

Business forms and tables are special document classes typically used to collect or distribute data; they are characterized by the presence of horizontal and vertical lines that delimit the usable space. The paper describes an algorithm that identifies these lines in binary digital images. This algorithm can be used to separate text from graphics before applying optical character recognition, or as a feature extractor in a form classification system. The approach presented differs from exiting vectorization, line extraction, and text-graphics separation methods, in that it focuses exclusively on the recognition of horizontal and vertical lines

Published in:

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,

Date of Conference:

30 Aug-3 Sep 1992