Monday 25th of September 2017
 

Peripheral Contour Feature Based On-line Handwritten Uyghur Character Recognition


Zulpiya Kahar, Mayire Ibrayim, Institute Of Information Science And Engineering, Xinjiang University and Askar Hamdulla

In this paper, we conduct a deep research on the grid direction feature, peripheral contour feature, stroke number feature and additional parts location feature for recognition of 32 independent forms of Uyghur characters through fully considering the unique shapes and writing styles of Uyghur characters. We divide the whole characters to subclasses by applying stroke number feature and additional parts location feature of individual characters, and then conducted several recognition experiments using the above features alone and various combinations. The experimental results show that peripheral contour feature is the best choice. The design of the character recognition in this article is an important part of the string recognition / word recognition, and laid the foundation for the implementation of Uyghur character handwritten input method in various platforms.

Keywords: Uyghur Characters, On-line Handwriting, Character Recognition, Peripheral Contour Feature, Grid Direction Feature

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ABOUT THE AUTHORS

Zulpiya Kahar
M.S. Student. She was born in Xinjiang in 1987, China. She received the bachelor degree from Xinjiang University, China in 2010. She is currently working toward M.S. degree in Xinjiang University, China. Her research interest is character recognition.

Mayire Ibrayim
She was born in Xinjiang in 1981, China. She received the M. S. degree in 2009 from Xinjiang University, China. She is currently working toward PhD. degree in Wuhan University, China. Her research interests are handwriting recognition and text image recognition

Institute Of Information Science And Engineering, Xinjiang University
received B.E. in 1983 in Electrical Engineering, from Xinjiang University of China. Currently, he is a professor in the Institute of Information Science and Engineering of Xinjiang University. His research interests include image processing and natural language processing

Askar Hamdulla
received B.E. in 1996, M.E. in 1999, and Ph.D. in 2003, all in Information Science and Engineering, from University of Electronic Science and Technology of China. In 2010, he was a visiting scholar at Center for Signal and Image Processing, Georgia Institute of Technology, GA, USA, tutored by Professor Biing-Hwang(Fred) Juang. Currently, he is a professor in the School of Software Engineering, Xinjiang University. He has published more than 80 technical papers on speech synthesis, natural language processing and image processing. He is an affiliate member of IEEE.


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