1 April 1995 Recognition of a low-resolution document consisting of Korean and English characters
Author Affiliations +
J. of Electronic Imaging, 4(2), (1995). doi:10.1117/12.200430
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.
Young Kug Ham, Sang Yoon Doh, Hong Kyu Chung, Woo-Sung Kim, Rae-Hong Park, "Recognition of a low-resolution document consisting of Korean and English characters," Journal of Electronic Imaging 4(2), (1 April 1995). http://dx.doi.org/10.1117/12.200430
JOURNAL ARTICLE
11 PAGES


SHARE
KEYWORDS
Detection and tracking algorithms

Optical character recognition

Fuzzy logic

Visualization

Scanners

Evolutionary algorithms

Binary data

RELATED CONTENT

MFP scanner motion characterization using self-printed target
Proceedings of SPIE (February 08 2015)
Optical design of a high-power fiber-optic coupler
Proceedings of SPIE (December 01 1991)
Similarity sequence and its application in shot organization
Proceedings of SPIE (December 17 1998)
Social image quality
Proceedings of SPIE (January 24 2011)
Intrusion detection using pattern recognition methods
Proceedings of SPIE (September 10 2007)

Back to Top