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Proceedings Paper

Context specification for text recognition in forms
Author(s): Kelly L. Anderson; William A. Barrett
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Paper Abstract

The use of contextual information has been shown to improve the accuracy of text recognition. Methods for describing the graphical and textual contexts inherent in forms are presented. Graphical context derived from an empty form is used for improved segmentation. Since fields on forms often have a very limited number of acceptable responses (ie. sex marital status etc. ) context is also used to limit the scope of the classifier based on field type location or content. Fields on forms also exhibit known spatial interrelationships as well as contextual inter-dependencies which provide a natural set of mutual constraints for field-specific classifiers.

Paper Details

Date Published: 1 February 1991
PDF: 10 pages
Proc. SPIE 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition, (1 February 1991); doi: 10.1117/12.25328
Show Author Affiliations
Kelly L. Anderson, Brigham Young Univ. (United States)
William A. Barrett, Brigham Young Univ. (United States)

Published in SPIE Proceedings Vol. 1384:
High-Speed Inspection Architectures, Barcoding, and Character Recognition
Michael J. W. Chen, Editor(s)

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