An efficient knowledge-based stroke extraction method for multi-font chinese characters

Pattern Recognition

Volumn 25, Issue 12, 1992, Pages 1445-1458

  Tseng, L Y ^a   Chuang, C T ^a  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Chinese character recognition; Eliminate noises; Knowledge based; Primitive stroke; Stroke extraction; Thinning

Indexed keywords

CHARACTER RECOGNITION; COMPUTER APPLICATIONS; KNOWLEDGE BASED SYSTEMS; NOISE ABATEMENT;

CHINESE CHARACTER RECOGNITION; PRIMITIVE STROKE; STROKE EXTRACTION;

PATTERN RECOGNITION;

EID: 0026957760     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(92)90119-4     Document Type: Article

References (23)

1. A new approach to recognition of both handwritten and multi-font printed Chinese characters
2. Recognition of handwritten Chinese characters by modified Hough transform techniques
3. Application of a multilayer decision tree in computer recognition of Chinese characters
4. An experiment on the recognition of handprinted Chinese characters
5. Syntactic approach to character recognition
6. A knowledge-based stroke-matching method for Chinese character recognition
7. A new approach to machine recognition of Chinese characters
8. New probabilistic model for Chinese character recognition
9. Chinese character recognition by discrete Fourier transformation
10. An accurate method for recognition of printed Chinese characters
11. Research on machine recognition of hand-printed character
12. Feature extraction in the recognition of Chinese characters printed in different fonts
13. A syntactic-semantic approach for Chinese character recognition
14. Guided stroke structure extraction for the recognition of handprinted Chinese characters
15. A new approach for handwritten Chinese character recognition
16. Decomposition and recognition of handprinted Chinese characters
17. Stroke extraction and matching methods for hand-written Chinese characters recognition
18. Contour DP matching method and its application to handprinted Chinese character recognition
19. Recognizing restricted handwritten Chinese characters by structure similarity method
20. A research on printed Chinese character recognition based on stroke features with optical/digital hybrid realization
21. On machine recognition of hand-printed Chinese characters by feature relaxation
22. Three stroke extraction methods for recognition of handwritten Chinese characters
23. Line filtering and its application to stroke segmentation of handprinted Chinese characters