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A Method for Segmenting Uyghur Symbols

Volume 13, Number 6, October 2017 - Paper 19  - pp. 985-997
DOI: 10.23940/ijpe.17.06.p19.985997

Xiangwei Qi, Yong Yang, Weimin Pan*

School of Computer Science and Technology, Xinjiang Normal University, Urumqi 830054, China

(Submitted on May 29, 2017; Revised on July 12, 2017; Accepted on September 17, 2017)


In consideration that Uyghur symbols are poorly recognized and recognition algorithms are impertinent for connecting characters, five kinds of features are extracted from Uyghur symbols after feature analysis and pre-processing, including 8-directional features, fuzzy features and primitive features. According to characteristics of Uyghur, features of Uyghur symbols such as aspect ratio and dynamic speed are extracted. Features are selected by LDA transformation, and the methods for judging relationships among Uyghur primitives are determined. Minimum distance classifier and MQDF classifier are suggested to be used. By recognizing primitives, effectiveness of algorithms is experimentally verified with online Uyghur recognition algorithms of decision fusion strategies by classifiers.


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