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Proceedings Paper

Simple sequentially designed rule-based alphanumerics recognition algorithm for OCR document processing using a thinning process
Author(s): Young Kug Ham; Chang-Bum Lee; Woo-Sung Kim; Sang Yoon Doh; Rae-Hong Park; Sang-Jung Kim
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Paper Abstract

A simple method to recognize the printed alphanumerics is discussed. The proposed method is a simple rule-based structural method to recognize printed alphanumerics of image scanner data based on the thinning operation. This paper also presents major achievement made toward the development of a fast hierarchical recognition scheme for the printed and handwritten facsimile data. The conventional thinning techniques give good results for high-resolution image scanner data, but they suffer drawbacks for low-resolution data. Our scheme recognizes 55 characters per second on the IBM PC/386 environment and the recognition rate is 98%.

Paper Details

Date Published: 1 February 1992
PDF: 12 pages
Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); doi: 10.1117/12.57052
Show Author Affiliations
Young Kug Ham, Sogang Univ. (South Korea)
Chang-Bum Lee, ETRI/Human Interface Section (South Korea)
Woo-Sung Kim, Sogang Univ. (South Korea)
Sang Yoon Doh, Sogang Univ. (South Korea)
Rae-Hong Park, Sogang Univ. (South Korea)
Sang-Jung Kim, ETRI/Human Interface Section (South Korea)

Published in SPIE Proceedings Vol. 1607:
Intelligent Robots and Computer Vision X: Algorithms and Techniques
David P. Casasent, Editor(s)

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