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International Journal on Document Analysis and Recognition (IJDAR)
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Volume 21, Issue 3, September 2018

Special Issue on Deep Learning for Document Analysis and Recognition

Issue Editors:

  • Cheng-Lin Liu,
  • Gernot A. Fink,
  • Venu Govindaraju,
  • Lianwen Jin
  • … show all 4 hide
ISSN: 1433-2833 (Print) 1433-2825 (Online)

In this issue (6 articles)

  1. Editorial

    Special issue on deep learning for document analysis and recognition

    Cheng-Lin Liu, Gernot A. Fink… Pages 159-160
    Download PDF (302KB) View Article
  2. No Access

    Special Issue Paper

    Learning to detect, localize and recognize many text objects in document images from few examples

    Bastien Moysset, Christopher Kermorvant… Pages 161-175
  3. No Access

    Special Issue Paper

    Fully convolutional network with dilated convolutions for handwritten text line segmentation

    Guillaume Renton, Yann Soullard… Pages 177-186
  4. No Access

    Special Issue Paper

    Integrating scattering feature maps with convolutional neural networks for Malayalam handwritten character recognition

    K. Manjusha, M. Anand Kumar, K. P. Soman Pages 187-198
  5. No Access

    Special Issue Paper

    Attribute CNNs for word spotting in handwritten documents

    Sebastian Sudholt, Gernot A. Fink Pages 199-218
  6. No Access

    Special Issue Paper

    Fixed-sized representation learning from offline handwritten signatures of different sizes

    Luiz G. Hafemann, Luiz S. Oliveira… Pages 219-232

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