Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks

@article{Bhunia2018WordLF,
  title={Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks},
  author={Ankan Kumar Bhunia and A. Bhunia and Prithaj Banerjee and Aishik Konwer and A. Bhowmick and P. Roy and U. Pal},
  journal={2018 24th International Conference on Pattern Recognition (ICPR)},
  year={2018},
  pages={3645-3650}
}
Conversion of one font to another font is very useful in real life applications. In this paper, we propose a Convolutional Recurrent Generative model to solve the word level font transfer problem. Our network is able to convert the font style of any printed text images from its current font to the required font. The network is trained end-to-end for the complete word images. Thus it eliminates the necessary pre-processing steps, like character segmentations. We extend our model to conditional… Expand
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