DocumentCode :
401884
Title :
An effective stroke extraction model for Chinese characters
Author :
Tang, Yan ; Chen, Rui ; Qiu, Yu-hui
Author_Institution :
Dept. of Comput. Sci., Southwest China Normal Univ., Chongqing, China
Volume :
5
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
3193
Abstract :
The offline recognition of Chinese Characters is a very important research field in OCR. In this paper, the authors propose an effective stroke extraction model for Chinese Character based on Stroke Segmentation and Combination. Comparing with the existed models, the experiments proved that it could improve the precision for the stroke extraction and reduce the computation complexity considerably.
Keywords :
feature extraction; image segmentation; optical character recognition; Chinese characters recognition; OCR; computation complexity; optical character recognition; stroke combination; stroke extraction model; stroke segmentation; Bidirectional control; Character recognition; Computer science; Gray-scale; Image segmentation; Knowledge based systems; Machine learning; Optical character recognition software; Shape; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1260129
Filename :
1260129
Link To Document :
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