Image Binarization for End-to-End Text Understanding in Natural Images

@article{Milyaev2013ImageBF,
  title={Image Binarization for End-to-End Text Understanding in Natural Images},
  author={S. Milyaev and O. Barinova and T. Novikova and Pushmeet Kohli and V. Lempitsky},
  journal={2013 12th International Conference on Document Analysis and Recognition},
  year={2013},
  pages={128-132}
}
  • S. Milyaev, O. Barinova, +2 authors V. Lempitsky
  • Published 2013
  • Computer Science
  • 2013 12th International Conference on Document Analysis and Recognition
  • While modern off-the-shelf OCR engines show particularly high accuracy on scanned text, text detection and recognition in natural images still remains a challenging problem. [...] Key Result Our main finding is thus the fact that image binarization methods combined with additional filtering of generated connected components and off-the-shelf OCR engines can achieve state-of-the-art performance for end-to-end text understanding in natural images.Expand Abstract
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