Scaling Up Whole-Book Recognition

  title={Scaling Up Whole-Book Recognition},
  author={Pingping Xiu and Henry S. Baird},
  journal={2009 10th International Conference on Document Analysis and Recognition},
We describe the results of large-scale experiments with algorithms for unsupervised improvement of recognition of book-images using fully automatic mutual-entropy-based model adaptation. Each experiment is initialized with an imperfect iconic model derived from errorful OCR results, and a more or less perfect linguistic model, after which our fully automatic adaptation algorithm corrects the iconic model to achieve improved accuracy, guided only by evidence within the test set. Mutual-entropy… CONTINUE READING

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