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J. Imaging 2018, 4(7), 84; https://doi.org/10.3390/jimaging4070084

Document Image Processing

1
Institut Mines-Télécom/Télécom ParisTech, Université Paris-Saclay, 75013 Paris, France
2
Department Information and Communication Systems Engineering, University of the Aegean, Samos 83200, Greece
*
Author to whom correspondence should be addressed.
Received: 15 June 2018 / Accepted: 15 June 2018 / Published: 22 June 2018
(This article belongs to the Special Issue Document Image Processing)
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Keywords: document image processing; preprocessing; document restoration; binarization; slant removal; text-line segmentation; handwriting recognition; indic/arabic/asian scripts; OCR; Video OCR; word spotting; retrieval; document datasets; performance evaluation; document annotation tools document image processing; preprocessing; document restoration; binarization; slant removal; text-line segmentation; handwriting recognition; indic/arabic/asian scripts; OCR; Video OCR; word spotting; retrieval; document datasets; performance evaluation; document annotation tools
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Likforman-Sulem, L.; Kavallieratou, E. Document Image Processing. J. Imaging 2018, 4, 84.

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