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Proceedings Paper

Segmentation-free morphological character recognition
Author(s): Eugene J. Kraus; Edward R. Dougherty
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Paper Abstract

A basic class of structuring-element pairs for segmentation-free character recognition via the morphological hit-or-miss transform is developed for Courier font. Both hit and miss structuring elements are sparse and they are selected so that the hit-or-miss transform can be applied across the test image without prior segmentation. Besides being able to achieve high rates of accuracy on text with touching characters, the hit-or-miss algorithm, as developed herein, is shown to be very robust with respect to the threshold level for the input gray-scale data.

Paper Details

Date Published: 23 March 1994
PDF: 10 pages
Proc. SPIE 2181, Document Recognition, (23 March 1994); doi: 10.1117/12.171117
Show Author Affiliations
Eugene J. Kraus, Monroe Community College (United States)
Edward R. Dougherty, Rochester Institute of Technology (United States)

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

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