Adaptive preprocessing of scanned documents

  • Authors:
  • Roumen Kountchev;Vladimir Todorov;Roumiana Kountcheva

  • Affiliations:
  • Radio-communications Dept., Technical University of Sofia, Sofia, Bulgaria;T&K Engineering Co., Sofia, Bulgaria;T&K Engineering Co., Sofia, Bulgaria

  • Venue:
  • MMACTEE'08 Proceedings of the 10th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering
  • Year:
  • 2008

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Abstract

A new approach for scanned documents preprocessing, aimed at their efficient archiving with retained visual quality is presented in this paper. The preprocessing is based on image filtration, which consists of Gaussian noise removal with adaptive digital Wiener filter, followed by correction of the uneven background illumination with 2D digital filtration. Then the texts (graphics) are extracted using a special method for image segmentation. The presented approach permits further adaptive processing of the extracted texts and their background in result of which higher compression with retained image quality is obtained. The method ensures very good results when old documents with complicated image structure are processed and archived.