Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning

@article{Bhunia2018HandwritingRI,
  title={Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning},
  author={Ayan Kumar Bhunia and Abhirup Das and Ankan Kumar Bhunia and Perla Sai Raj Kishore and Partha Pratim Roy},
  journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2018},
  pages={4762-4771}
}
  • Ayan Kumar Bhunia, Abhirup Das, +2 authors Partha Pratim Roy
  • Published in
    IEEE/CVF Conference on…
    2018
  • Computer Science
  • Handwritten Word Recognition and Spotting is a challenging field dealing with handwritten text possessing irregular and complex shapes. [...] Key Method The AFDM is inserted between intermediate layers and trained alternatively with the original framework, boosting its capability to better learn highly informative features rather than trivial ones.Expand Abstract

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 52 REFERENCES

    ICDAR 2011 - French Handwriting Recognition Competition

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    The IAM-database: an English sentence database for offline handwriting recognition

    VIEW 11 EXCERPTS
    HIGHLY INFLUENTIAL

    Word Spotting and Recognition Using Deep Embedding

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    CNN-N-Gram for HandwritingWord Recognition

    • Arik Poznanski, Lior Wolf
    • Computer Science
    • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    • 2016
    VIEW 6 EXCERPTS
    HIGHLY INFLUENTIAL

    Robust Scene Text Recognition with Automatic Rectification

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

    VIEW 15 EXCERPTS
    HIGHLY INFLUENTIAL

    A Novel Connectionist System for Unconstrained Handwriting Recognition

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    A Multi-Object Rectified Attention Network for Scene Text Recognition

    VIEW 2 EXCERPTS

    ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

    VIEW 2 EXCERPTS