Recognition of a low-resolution document consisting of Korean and English characters

Young Kug Ham; Sang Yoon Doh; Hong Kyu Chung; Woo-Sung Kim; Rae-Hong Park

doi:10.1117/12.200430

1 April 1995 Recognition of a low-resolution document consisting of Korean and English characters

Young Kug Ham, Sang Yoon Doh, Hong Kyu Chung, Woo-Sung Kim, Rae-Hong Park

Author Affiliations +

Journal of Electronic Imaging, Vol. 4, Issue 2, (April 1995). https://doi.org/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.

Citation Download Citation

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

Published: 1 April 1995

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available