Convolutional Neural Networks for Document Image Classification

@article{Kang2014ConvolutionalNN,
  title={Convolutional Neural Networks for Document Image Classification},
  author={Le Kang and Jayant Kumar and Peng Ye and Yi Li and David S. Doermann},
  journal={2014 22nd International Conference on Pattern Recognition},
  year={2014},
  pages={3168-3172}
}
This paper presents a Convolutional Neural Network (CNN) for document image classification. In particular, document image classes are defined by the structural similarity. Previous approaches rely on hand-crafted features for capturing structural information. In contrast, we propose to learn features from raw image pixels using CNN. The use of CNN is motivated by the the hierarchical nature of document layout. Equipped with rectified linear units and trained with dropout, our CNN performs well… CONTINUE READING
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