Transcription of Spanish Historical Handwritten Documents with Deep Neural Networks

@article{Granell2018TranscriptionOS,
  title={Transcription of Spanish Historical Handwritten Documents with Deep Neural Networks},
  author={Emilio Granell and Edgard Chammas and Laurence Likforman-Sulem and Carlos D. Mart{\'i}nez-Hinarejos and Chafic Mokbel and Bogdan-Ionut Cirstea},
  journal={J. Imaging},
  year={2018},
  volume={4},
  pages={15}
}
The digitization of historical handwritten document images is important for the preservation of cultural heritage. Moreover, the transcription of text images obtained from digitization is necessary to provide efficient information access to the content of these documents. Handwritten Text Recognition (HTR) has become an important research topic in the areas of image and computational language processing that allows us to obtain transcriptions from text images. State-of-the-art HTR systems are… CONTINUE READING

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