Word Hypotheses for Segmentation-Free Word Spotting in Historic Document Images

@article{Rothacker2017WordHF,
  title={Word Hypotheses for Segmentation-Free Word Spotting in Historic Document Images},
  author={Leonard Rothacker and Sebastian Sudholt and Eugen Rusakov and Matthias Kasperidus and Gernot A. Fink},
  journal={2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)},
  year={2017},
  volume={01},
  pages={1174-1179}
}
The generation of word hypotheses for segmentation-free word spotting on document level is usually subject to heuristic expert design. This involves strong assumptions about the visual appearance of text in the document images. In this paper we propose to generate hypotheses with text detectors. In order to do so, we present three detectors that are based on SIFT contrast scores, CNN region classification scores and attribute activation maps. The uncertainty in the detector scores is modeled… CONTINUE READING

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