Recursive hierarchical radical extraction for handwritten chinese characters

Pattern Recognition

Volumn 30, Issue 7, 1997, Pages 1213-1227

  Wang, An Bang ^a   Fan, Kuo Chin ^a   Wu, Wei Hsien ^a  

^a NONE

Author keywords

Character pattern detection; Recursive hierarchical radical extraction; Straight cut line detection; Stroke clustering

Indexed keywords

EDGE DETECTION; FEATURE EXTRACTION; HIERARCHICAL SYSTEMS; RECURSIVE FUNCTIONS; STATISTICAL METHODS;

CHINESE HANDWRITTEN RECOGNITION;

CHARACTER RECOGNITION;

EID: 0031188123     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(96)00129-X     Document Type: Article

References (21)

1. R. Casey and G. Nagy, Recognition of printed Chinese characters, IEEE Trans. Electron. Comput. EC-15, 91-101 (1966).
2. H. Ogawa and K. Taniguchi, Extraction of partial pattern in hand-printed Chinese character by relaxation, Trans. IECE, Japan, TGPRL80-40 (1980).
3. A. B. Wang, J. S. Huang and K. C. Fan, Optical recognition of handwritten Chinese characters by hierarchical matching, J. Comput. Process. Chinese Oriental Languages 8(2), 193-210 (1994).
4. N. Babaguchi, T. Aibara, H. Sanada and K. Tezuka, Identification and extraction of radical from handprinted KANJI characters by segment correspondence method, Trans. IECE, Japan, PRL83-59 (1983).
5. N. Tanaka, H. Aota, H. Sanada, Y. Tezuka and M. Shiono, A method of sub pattern extraction from handprinted KANJI characters, Trans. IECE, Japan, PRL83-26 (1983).
6. B. S. Jeng, C. H. Lin, G. W. Yang and C. K. Lin, Automatic radical extraction system for machine-printed Chinese characters, Proc. NCS, pp. 1216-1224 (1985).
7. F. H. Cheng and W. H. Hsu, Partial pattern extraction and matching algorithm for Chinese characters, Proc. Inter. Conf. on lasted Robotics and Automation'85, pp. 18-22 (1985).
8. F. H. Cheng and W. H. Hsu, Radical extraction from handwritten Chinese characters by background thinning method, Trans. IEICE E71(1) (1988).
9. J. W. Chang and H. C. Liu, Radical extraction method for optical Chinese character recognition, Master Thesis, Institute of Computer Engineering, TamKang University, Taiwan (1989).
10. J. S. Lee, On-line Chinese character recognition system, Master Thesis, Institute of Electrical Engineering, Tsing-Hua University, Taiwan (1987).
11. T. Z. Lin and K. C. Fan, Coarse classification of on-line Chinese characters via structure feature-based method, Pattern Recognition 27(10), 1365-1377 (1994).
12. C.W. Liao and J. S. Huang, A transformation invariant matching algorithm for handwritten Chinese character recognition, Pattern Recognition 23(11), 1167-1188 (1990).
13. J. B. Kuo and M. W. Mao, A radical-partitioned coded block adaptive neural network structure for large-volume Chinese characters recognition, Proc. IJCNN, pp. 7-11 (1992).
14. S. C. Lee and Z. Chen, Automatic Chinese character stroke ordering and its use in sub-character decomposition, Master Thesis, Institute of Computer Science and Information Engineering, National Chiao Tung University, Taiwan (1993).
15. R. H. Cheng and Z. Chen, A knowledge-based radical recognition method for handprinted Chinese character, Proc. Inter. Conf. CVGIP, Taiwan (1993).
16. Y. H. Tseng and H. J. Lee, Knowledge-based radical extraction for handwritten Chinese characters, Master Thesis, Institute of Computer Science and Information Engineering, National Chiao Tung University (1994).
17. C. C. Han, K. C. Fan, Y. L. Tseng and A. B. Wang, Coarse classification of Chinese characters via stroke clustering method, Pattern Recognition Lett. 16(10), 1079-1089 (1995).
18. S. C. Chan, Neural network approach for Chinese character recognition, Proc. Intell. Systems for Processing Oriental Languages, pp. 365-370 (1992).
19. X. Z. Zhang, Chinese Character Recognition Techniques. Tsing-Hua University Publishing Corporation (1992).
20. A. B. Wang, J. S. Huang and K. C. Fan, Optical recognition of handwritten Chinese characters by the modified relaxation, Image Vision Comput. 12(8), 509-522 (1994).
21. J. T. Tou and R. C. Gonzalez, Pattern Recognition Principles. Addison-Wesley, Reading, Massachusetts (1974).