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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Machine Learning and Cybernetics, 2003 International Conference on
         
        
            Print_ISBN : 
0-7803-8131-9
         
        
        
            DOI : 
10.1109/ICMLC.2003.1260129