Recursive hierarchical radical extraction for handwritten Chinese characters

Authors:
An-Bang Wang;Kuo-Chin Fan;Wei-Hsien Wu
Affiliations:
Department of Accounting and Statistics, Private Takming Business Junior College, Taiwan, R.O.C.;Institute of Computer Science and Information Engineering, National Central University, Taiwan, R.O.C.;Institute of Computer Science and Information Engineering, National Central University, Taiwan, R.O.C.
Venue:
Pattern Recognition
Year:
1997

Citing 2
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Coarse classification of Chinese characters via stroke clustering method

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Effective radical segmentation of offline handwritten Chinese characters towards constructing personal handwritten fonts

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Abstract

In this paper, we propose a recursive hierarchical scheme for radical extraction of Chinese characters. The proposed scheme, which combines structural method and statistical method, includes three modules. They are character pattern detection module, straight cut line detection module, and stroke clustering module. Experiments are conducted on 1824 constrained handwritten characters. The successful rate of radical extraction is 96%. The experimental results reveal the feasibility and validity of our proposed approach.