Adaptive document image binarization

@article{Sauvola2000AdaptiveDI,
  title={Adaptive document image binarization},
  author={Jaakko J. Sauvola and Matti Pietik{\"a}inen},
  journal={Pattern Recognition},
  year={2000},
  volume={33},
  pages={225-236}
}
A new method is presented for adaptive document image binarization, where the page is considered as a collection of subcomponents such as text, background and picture. The problems caused by noise, illumination and many source type-related degradations are addressed. Two new algorithms are applied to determine a local threshold for each pixel. The performance evaluation of the algorithm utilizes test images with ground-truth, evaluation metrics for binarization of textual and synthetic images… CONTINUE READING
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