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https://github.com/mingtaoguo/cnn-for-chinese-calligraphy-styles-classification

A convolution neural network with SE block and haar wavelet block for Chinese calligraphy styles classification by TensorFlow.(Paper: A novel CNN structure for fine-grained classification of Chinesecalligraphy styles)
https://github.com/mingtaoguo/cnn-for-chinese-calligraphy-styles-classification

cnn-classification haarwavelet squeeze-and-excitation tensorflow tensorflow-models

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A convolution neural network with SE block and haar wavelet block for Chinese calligraphy styles classification by TensorFlow.(Paper: A novel CNN structure for fine-grained classification of Chinesecalligraphy styles)

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README

        

# CNN-for-Chinese-Calligraphy-Styles-classification
This code mainly solves the problem of style classification of Chinese calligraphy.

The paper has published: [A novel CNN structure for fine-grained classification of Chinesecalligraphy styles](https://rdcu.be/bxS19)

Introduce
----------

![fivefonts](https://github.com/MingtaoGuo/Simple-CNN-for-Chinese-character-classification/raw/master/IMGS/fivefonts.jpg)

There are four famous styles in standard font that is ou, yan, liu, zhao.

![fourstyles](https://github.com/MingtaoGuo/Simple-CNN-for-Chinese-character-classification/raw/master/IMGS/fourstyles.jpg)

Methods
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We use Squeeze-and-Excitation block and haar-wavelet block to improve the performance of our network.

### The method of Squeeze-and-Excitation block:
![SEBLOCK](https://github.com/MingtaoGuo/Simple-CNN-for-Chinese-character-classification/raw/master/IMGS/seblock.jpg)
### The method of haar-wavelet block:
![SEBLOCK](https://github.com/MingtaoGuo/Simple-CNN-for-Chinese-character-classification/raw/master/IMGS/haarwavelet.jpg)
### The architecture of our model:
![SEBLOCK](https://github.com/MingtaoGuo/Simple-CNN-for-Chinese-character-classification/raw/master/IMGS/network.jpg)