Rotary Chinese character identifying method based on convolution neural network model

The invention provides a hand-written Chinese character rotation-independent identifying method based on a convolution neural network. The method includes the steps of building a Caffe deep learning framework platform containing a plurality of convolution neural network models on a graphics processo...

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Bibliographic Details
Main Authors DING YANFANG, WANG ZHIXIN, GAO XUE, SONG XUCHEN, YANG WEN
Format Patent
LanguageChinese
English
Published 15.02.2017
Subjects
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