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).
- 2.Ding K, Jin L, Liu G, Gao J, Mei Z (2011) Incremental learning of mqdf for writer adaptation. ICIC-EL, Part B: Applications 2:25–30Google Scholar
- 4.Holzinger A, Schloegl M, Peischl B, Debevc M (2010) Preferences of handwriting recognition on mobile information systems in medicine: improving handwriting algorithm on the basis of real-life usability research. In: International joint conference on e-business and telecommunications, 26–28 Jul 2010. IEEE, Athens, pp 120–123Google Scholar
- 5.Holzinger A, Basic L, Peischl B, Debevc M (2011) Handwriting recognition on mobile devices: state of the art technology, usability and business analysis. In: International conference on electronic business and telecommunications, 18–21 Jul 2011. Springer, Seville, Spain, pp 219–227Google Scholar
- 6.Holzinger A, Schloegl M, Peischl B, Debevc M (2012) Optimization of a handwriting recognition algorithm for a mobile enterprise health information system on the basis of real-life usability research. CCIS 222:97–111Google Scholar
- 13.Liu CL, Zhou XD (2006) Online japanese character recognition using trajectory-based normalization and direction feature extraction. In: International Workshop on Frontiers in Handwriting Recognition, 23–26 Oct 2006. Suvisoft, La Baule, France, pp 217–222Google Scholar
- 22.Welling M (2006) Fisher linear discriminant analysis. Tech. rep., Department of Computer Science, University of TorontoGoogle Scholar
- 23.Wu T, Ma S (2003) Feature extraction by hierarchical overlapped elastic meshing for handwritten chinese character recognition. In: International conference on document analysis and recognition, 3–6 Aug 2003. IEEE, Edinburgh, Scotland, UK, pp 529–533Google Scholar
- 24.Zhang HP, Yu HK, Xiong DY, Liu Q (2003) Hhmm-based chinese lexical analyzer ictclas. In: SIGHAN workshop on Chinese language processing, 11–12 Jul 2003. ACM, Sapporo, Japan, pp 184–187Google Scholar
- 27.Zhou S, Chen Q, Wang X (2010) Hit-or3c: An opening recognition corpus for chinese characters. In: International workshop on document analysis systems, 9–11 June 2010. ACM, Boston, MA, USA, pp 223–230Google Scholar