Intelligence thresholding for degraded text-photo document images

@article{Tsai2011IntelligenceTF,
  title={Intelligence thresholding for degraded text-photo document images},
  author={Chun-Ming Tsai},
  journal={2011 International Conference on Machine Learning and Cybernetics},
  year={2011},
  volume={4},
  pages={1509-1514}
}
The conversion of the content from paper books into digital form is captured by digital cameras or scanners. However, after the conversion, the illumination of the captured document images is often unevenly distributed. Conventional thresholding methods cannot threshold these kind documents, usually full text images, properly. If the degraded document image includes both text and photo, these methods produce unsatisfactory binarizaion results. This paper presents an efficient and effective… CONTINUE READING

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