Finding Text in Natural Scenes by Figure-Ground Segmentation

@article{Shen2006FindingTI,
  title={Finding Text in Natural Scenes by Figure-Ground Segmentation},
  author={Huiying Shen and James M. Coughlan},
  journal={18th International Conference on Pattern Recognition (ICPR'06)},
  year={2006},
  volume={4},
  pages={113-118}
}
Much past research on finding text in natural scenes uses bottom-up grouping processes to detect candidate text features as a first processing step. While such grouping procedures are a fast and efficient way of extracting the parts of an image that are most likely to contain text, they still suffer from large amounts of false positives that must be pruned out before they can be read by OCR. We argue that a natural framework for pruning out false positive text features is figure-ground… CONTINUE READING

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