Urdu Nastaliq recognition using convolutional-recursive deep learning

@article{Naz2017UrduNR,
  title={Urdu Nastaliq recognition using convolutional-recursive deep learning},
  author={Saeeda Naz and Arif Iqbal Umar and Riaz Ahmad and Imran Siddiqi and Saad Bin Ahmed and Muhammad Imran Razzak and Faisal Shafait},
  journal={Neurocomputing},
  year={2017},
  volume={243},
  pages={80-87}
}
11 Recent developments in recognition of cursive scripts rely on implicit feature extraction methods that provide better results as compared to traditional handcrafted feature extraction approaches. We present a hybrid approach based on explicit feature extraction by combining convolutional and recursive neural networks for feature learning and classification of cursive Urdu Nastaliq script. The first layer extracts low-level translational invariant features using Convolutional Neural Networks… CONTINUE READING
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