Chinese Calligraphy Font Classification and Transformation

نویسندگان

  • Li Deng
  • Liyi Wang
  • Zhaolin Ren
چکیده

This project explores Chinese character font classification and transformation, which are the most important two steps in reconstructing weathered Chinese characters. For font classification, SIFT is first used to capture font features, and neural network is built in Keras with almost perfect results achieved. For font transformation, a convolutional neural network is implemented in Tensorflow, for which different models are compared and discussed. Expected results are generated from transformation, and effectiveness of neural network in font classification and transformation is verified.

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تاریخ انتشار 2016