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长春光学精密机械与物... [1]
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会议论文 [1]
发表日期
2010 [1]
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Handwritten character recognition based on 13-point feature of skeleton and self-organizing competition network (EI CONFERENCE)
会议论文
2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010, May 11, 2010 - May 12, 2010, Changsha, China
Zhong C.
;
Ding Y.
;
Fu J.
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提交时间:2013/03/25
This article is about the recognition for handwritten characters. Firstly
we use some conventional methods to preprocess the images and introduce the 13-point feature of skeleton method to extract the data that containing feature of the handwritten character. Secondly
we use the data to train the self-organizing competition network. In the end
we test the net and conclude that this method has a good performance at handwritten character recognition. 2010 IEEE.
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