Abstract
The field of practical character recognition has seen great advances these years, owing the to proposition of effective newmethod and progress in computer hardware. However, lots of problems like precision and progressing speed remain to be solved. This paper proposes a useful practical optical character recognition method of both Chinese character and English character. Given a photo randomly taken, we pre-progress it to undo the influence of light and tilt. Then we separate each word to extract 8-direction chain-code feature of it. When faced with complex scene, the method we propose achieve relatively high precision and fast speed. Copyright © 2015 Taylor & Francis Group.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 4th International Conference on Multimedia Technology, Sydney, Australia, 28-30 March 2015 |
| Editors | Aly A. FARAG, Yang JIAN, Feng JIAO |
| Place of Publication | The Netherlands |
| Publisher | CRC Press/Balkema |
| Pages | 155-158 |
| ISBN (Electronic) | 9781315686981 |
| ISBN (Print) | 9781138027947 |
| Publication status | Published - 2015 |
Citation
Lu, P., Yang, Y., Sheng, B., Li, P., Chen, M., & Wu, D. (2015). Chinese character recognition based on 8-direction feature extraction. In A. A. Farag, Y. Jian, F. Jiao (Eds.), Multimedia Technology IV: Proceedings of the 4th International Conference on Multimedia Technology, Sydney, Australia, 28-30 March 2015 (pp. 155-158). The Netherlands: CRC Press/Balkema.Keywords
- 8-direction
- Chain-code feature
- Formatting
- OCR
- Tilt correction