DocumentCode :
3022921
Title :
The feature combination technique for off-line Thai character recognition system
Author :
Methasate, Ithipan ; Marukatat, Sanparith ; Sae-Tang, Sutat ; Theeramunkong, Thanarak
Author_Institution :
Inf. R&D Div., Nat. Electron. & Comput. Technol. Center, Thailand
fYear :
2005
fDate :
29 Aug.-1 Sept. 2005
Firstpage :
1006
Abstract :
This paper proposes an off-line Thai character recognition system for an unconstrained writing. This system combines both global feature, that represents character shape, and local feature, that represents the symbolic structure, to solve the similarity and variety problems of Thai characters. The pixel distribution is applied, as the global feature, to classify the image into 20 groups of similar characters. The modified structure features extraction is used to extract character structure. Then, all features, global and local, are used to classify the character within each group. The proposed method yields the recognition rate at 87.32 per cents.
Keywords :
character recognition; feature extraction; image classification; natural languages; character structure extraction; feature combination; offline Thai character recognition system; pixel distribution; structure feature extraction; Character recognition; Text analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN :
1520-5263
Print_ISBN :
0-7695-2420-6
Type :
conf
DOI :
10.1109/ICDAR.2005.236
Filename :
1575695
Link To Document :
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