Optical Chinese character recognition for low-quality document images

Tzren Ru Chou, Fu Chang

研究成果: 書貢獻/報告類型會議貢獻

3 引文 斯高帕斯(Scopus)

摘要

In this article, we propose a new matching method for machine recognition of Chinese characters that are extracted from low-quality document images. This method employs a deformation representation, called character deformation model, to guide the detailed matching between templates and unknown characters. Experimental results show that the proposed method is very effective to recognize deformed characters extracted from low-resolution images or Xerox-copy documents. A recognition rate of 95.7% is achieved for 200 dpi document images, and the accumulated recognition rate of the first 3 candidates is higher than 99.8%. Moreover, even for the 100 dpi document images, the third accumulated recognition rate is still above 91%.

原文英語
主出版物標題Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
編輯 Anon
發行者IEEE
頁面608-611
頁數4
2
出版狀態已發佈 - 1997
對外發佈Yes
事件Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2) - Ulm, Ger
持續時間: 1997 八月 181997 八月 20

其他

其他Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2)
城市Ulm, Ger
期間97/8/1897/8/20

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • 引用此

    Chou, T. R., & Chang, F. (1997). Optical Chinese character recognition for low-quality document images. 於 Anon (編輯), Proceedings of the International Conference on Document Analysis and Recognition, ICDAR (卷 2, 頁 608-611). IEEE.