A learning framework for degraded document image binarization using Markov Random Field

@article{Su2012ALF,
  title={A learning framework for degraded document image binarization using Markov Random Field},
  author={Bolan Su and Shijian Lu and Chew Lim Tan},
  journal={Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)},
  year={2012},
  pages={3200-3203}
}
Document image binarization is an important preprocessing technique for document image analysis that segments the text from the document image backgrounds. Many techniques have been proposed and successfully applied in different applications, such as document image retrieval. However, these techniques may perform poorly on degraded document images. In this paper, we propose a learning framework that makes use of the Markov Random Field to improve the performance of the existing document image… CONTINUE READING

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