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Proceedings Paper

Flexible Segmentation and Matching for Optical Character Recognition
Author(s): San-Wei Sun; S. Y. Kung
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Paper Abstract

This paper presents a flexible image segmentation and feature matching method based on dynamic programming techniques to resolve the spatial deformation of Optical Character Recognition (OCR) problems. A 2-subcycle thinning algorithm is presented to extract a character skeleton which is 8-connected. In addition, two feature extraction methods are devised, which will extract the projected 1-D profiles of stroke distributions and 2-D background distribution respectively. The performance of the scheme is superior to that of an equally divided segmentation scheme.

Paper Details

Date Published: 1 November 1989
PDF: 10 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970140
Show Author Affiliations
San-Wei Sun, Ministry of Communications (Taiwan)
S. Y. Kung, Princeton University (United States)


Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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