Evaluation of Binarization Methods for Document Images

  • Authors:
  • Øivind Due Trier;Torfinn Taxt

  • Affiliations:
  • -;-

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 1995

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Abstract

This paper presents an evaluation of eleven locally adaptive binarization methods for gray scale images with low contrast, variable background intensity and noise. Niblack驴s method with the addition of the postprocessing step of Yanowitz and Bruckstein驴s method added performed the best and was also one of the fastest binarization methods.