Multi-font printed Chinese character recognition using multi-pooling convolutional neural network

@article{Zhong2015MultifontPC,
  title={Multi-font printed Chinese character recognition using multi-pooling convolutional neural network},
  author={Zhuoyao Zhong and Lianwen Jin and Ziyong Feng},
  journal={2015 13th International Conference on Document Analysis and Recognition (ICDAR)},
  year={2015},
  pages={96-100}
}
Although previous studies have achieved effective printed Chinese character recognition (PCCR) in the case a single font or a few different fonts, large scale multi-font PCCR remains a major challenge owing to the wide variety in the shape, layout, and grey-level distribution of single Chinese characters across different font styles. This paper applies multi-pooling and data augmentation with non-linear transformation to a convolutional neural network (CNN) for multi-font PCCR. We propose a… CONTINUE READING
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