TY - GEN
T1 - Integrating language model in handwritten Chinese text recognition
AU - Wang, Qiu Feng
AU - Yin, Fei
AU - Liu, Cheng Lin
PY - 2009
Y1 - 2009
N2 - This paper describes a system for handwritten Chinese text recognition integrating language model. On a text line image, the system generates character segmentation and word segmentation candidates, and the candidate paths are evaluated by character recognition scores and language model. The optimal path, giving segmentation and recognition result, is found using a pruned dynamic programming search method. We evaluate various language models, including the character-based n-gram, word-based n-gram, and hybrid n-gram models. Experimental results on the HIT-HW database show that the language models improve the recognition performance remarkably.
AB - This paper describes a system for handwritten Chinese text recognition integrating language model. On a text line image, the system generates character segmentation and word segmentation candidates, and the candidate paths are evaluated by character recognition scores and language model. The optimal path, giving segmentation and recognition result, is found using a pruned dynamic programming search method. We evaluate various language models, including the character-based n-gram, word-based n-gram, and hybrid n-gram models. Experimental results on the HIT-HW database show that the language models improve the recognition performance remarkably.
UR - http://www.scopus.com/inward/record.url?scp=71249109788&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.2009.96
DO - 10.1109/ICDAR.2009.96
M3 - Conference Proceeding
AN - SCOPUS:71249109788
SN - 9780769537252
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 1036
EP - 1040
BT - ICDAR2009 - 10th International Conference on Document Analysis and Recognition
T2 - ICDAR2009 - 10th International Conference on Document Analysis and Recognition
Y2 - 26 July 2009 through 29 July 2009
ER -