Character recognition using attributed grammar
Lee, K.H.
Eom, K.-B.
Kashyap, R.L.
Dept. of Comput. Sci., Inha Univ., Inchon;
This paper appears in: Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Publication Date: 5-9 Jun 1988
On page(s): 418-423
Meeting Date: 06/05/1988 - 06/09/1988
Location: Ann Arbor, MI, USA
ISBN: 0-8186-0862-5
References Cited: 8
INSPEC Accession Number: 3248011
Digital Object Identifier: 10.1109/CVPR.1988.196269
Current Version Published: 2002-08-06
Abstract
The authors describe a character recognition algorithm for Korean
characters that uses attribute-dependent regular programmed grammar
(ADRPG). Each Korean character has more strokes than an English
character. and the recognition of Korean characters is heavily dependent
on the attributes of strokes. They implemented a syntactic algorithm
based on the ADPRG, which easily incorporates attribute information such
as position, angle, length, and branch points. The ADPRG-algorithm is
implemented on a PC-AT compatible, and 377 production rules and 78
attribute test functions are derived from a printed document containing
4206 Korean characters and applied another document containing 3092
Korean characters having some defects. More than 95.1% of 3092 Korean
characters are correctly recognized with an average speed of 1.15
characters/s
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