Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks

@article{Alom2018HandwrittenBC,
  title={Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks},
  author={Md. Zahangir Alom and P. Sidike and Mahmudul Hasan and T. Taha and V. Asari},
  journal={Computational Intelligence and Neuroscience},
  year={2018},
  volume={2018}
}
In spite of advances in object recognition technology, handwritten Bangla character recognition (HBCR) remains largely unsolved due to the presence of many ambiguous handwritten characters and excessively cursive Bangla handwritings. Even many advanced existing methods do not lead to satisfactory performance in practice that related to HBCR. In this paper, a set of the state-of-the-art deep convolutional neural networks (DCNNs) is discussed and their performance on the application of HBCR is… Expand
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