OCR Error Correction Using a Noisy Channel Model

  title={OCR Error Correction Using a Noisy Channel Model},
  author={Okan Kolak and Philip Resnik},
In this paper, we take a pattern recognition approach to correcting errors in text generated from printed documents using optical character recognition (OCR). We apply a very general, theoretically optimal model to the problem of OCR word correction, introduce practical methods for parameter estimation, and evaluate performance on real data. 
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