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%.
|主出版物標題||Proceedings of the International Conference on Document Analysis and Recognition, ICDAR|
|出版狀態||已發佈 - 1997|
|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 18 → 1997 八月 20
|其他||Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2)|
|期間||1997/08/18 → 1997/08/20|
ASJC Scopus subject areas