A comparison of binarization methods for historical archive documents

@article{He2005ACO,
  title={A comparison of binarization methods for historical archive documents},
  author={Jingyu He and Q. D. M. Do and Andy C. Downton and Jae Heon Kim},
  journal={Eighth International Conference on Document Analysis and Recognition (ICDAR'05)},
  year={2005},
  pages={538-542 Vol. 1}
}
This paper compares several alternative binarization algorithms for historical archive documents, by evaluating their effect on end-to-end word recognition performance in a complete archive document recognition system utilising a commercial OCR engine. The algorithms evaluated are: global thresholding; Niblack's and Sauvola's algorithms; adaptive versions… CONTINUE READING

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