Handwritten Chinese text editing and recognition system
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This paper describes a handwritten Chinese text editing and recognition system that can edit handwritten text and recognize it with a client-server mode. First, the client end samples and redisplays the handwritten text by using digital ink technics, segments handwritten characters, edits them and saves original handwritten information into a self-defined document. The self-defined document saves coordinates of all sampled points of handwriting characters. Second, the server recognizes handwritten document based on the proposed Gabor feature extraction and affinity propagation clustering (GFAP) method, and returns the recognition results to client end. Moreover, the server can also collect the labeled handwritten characters and fine tune the recognizer automatically. Experimental results on HIT-OR3C database show that our handwriting recognition method improves the recognition performance remarkably.
KeywordsHandwriting recognition Chinese character Handwritten Chinese text editing
We would like to thank Xinggang Fu, Huili Li, Xinyi Guo, Hui Li, Suqin Ao, Zou Chen, and Junqi Pu for their contributions in handwritten Chinese text editing and recognition system. We would also like to thank all the volunteers for their contributions in HIT-OR3C. We would also like to thank Chenglin Liu et al. in Chinese Academy of Sciences, and Lianwen Jin et al. in South China University of Technology, for their providing of CASIA-OLHWDB1 and SCUT-COUCH2009 databases. This work was supported in part by the National Natural Science Foundation of China (No. 61173075 and No. 60973076), and Shenzhen Foundation Research Plan (JC201005260175A).
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