Character recognition based on attribute-dependent programmedgrammar
Kyoon Ha Lee
Kie-Bum Eom
Kashyap, R.L.
Dept. of Comput. Sci., Inha Univ., Inchon;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Nov 1992
Volume: 14,
Issue: 11
On page(s): 1122-1128
ISSN: 0162-8828
References Cited: 28
CODEN: ITPIDJ
INSPEC Accession Number: 4344399
Digital Object Identifier: 10.1109/34.166629
Current Version Published: 2002-08-06
Abstract
The recognition of Korean characters by a syntactic method is
considered. Korean characters are composed of phonetic symbols in two
dimensions and contain very little redundancy. In addition, the phonetic
symbols in each character are different in shape and number depending on
how they are composed. Thus, attribute information is important. A
Korean character recognition algorithm based on an attribute-dependent
programmed grammar is presented. The preprocessing and primitive
extraction algorithm is also described. The algorithm was implemented
and tested with more than 9600 Korean characters in pages randomly
selected from children's story books. The algorithm based on the
attribute-dependent programmed grammar recognized characters reasonably
quickly, with more than 95.1% accuracy
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