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PyTorch implementation of - Threshold Center-Symmetric Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition

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TCS-LBCNN_Pytorch_implementation

PyTorch implementation of - Threshold Center-Symmetric Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition

Paper Download

https://doi.org/10.1016/j.knosys.2022.110079

References

  • Al-wajih, Ebrahim, and Rozaida Ghazali. "Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition." Knowledge-Based Systems (2022): 110079.
@article{al2022threshold,
  title={Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition},
  author={Al-wajih, Ebrahim and Ghazali, Rozaida},
  journal={Knowledge-Based Systems},
  pages={110079},
  year={2022},
  publisher={Elsevier}
}

Requirements

See the installation instructions for a step-by-step guide.

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PyTorch implementation of - Threshold Center-Symmetric Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition

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