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Journal of Electronic Imaging

Recognition of a low-resolution document consisting of Korean and English characters
Author(s): Young Kug Ham; Sang Yoon Doh; Hong Kyu Chung; Woo-Sung Kim; Rae-Hong Park
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Paper Abstract

We propose an efficient algorithm that recognizes handwritten Korean and English characters in a low-resolution document. For a user-friendly input system for low-resolution documents consisting of two different sets of characters obtained by a facsimile or scanner, we propose a document-recognition algorithm utilizing several effective features (partial projection, the number of cross points, and distance features) and the membership function of the fuzzy set theory. Via computer simulation with several test documents, we show the effectiveness of the proposed recognition algorithm for both printed and handwritten and Korean and English characters in a low-resolution document.

Paper Details

Date Published: 1 April 1995
PDF: 11 pages
J. Electron. Imag. 4(2) doi: 10.1117/12.200430
Published in: Journal of Electronic Imaging Volume 4, Issue 2
Show Author Affiliations
Young Kug Ham, Sogang Univ. (South Korea)
Sang Yoon Doh, Sogang Univ. (South Korea)
Hong Kyu Chung, Sogang Univ. (South Korea)
Woo-Sung Kim, Sogang Univ. (South Korea)
Rae-Hong Park, Sogang Univ. (South Korea)

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