A Hybrid Binarization Technique for Document Images

  • Vavilis Sokratis
  • Ergina Kavallieratou
  • Roberto Paredes
  • Kostas Sotiropoulos
Part of the Studies in Computational Intelligence book series (SCI, volume 375)


In this chapter, a binarization technique specifically designed for historical document images is presented. Existing binarization techniques focus either on finding an appropriate global threshold or adapting a local threshold for each area in order to remove smear, strains, uneven illumination etc. Here, a hybrid approach is presented that first applies a global thresholding technique and, then, identifies the image areas that are more likely to still contain noise. Each of these areas is re-processed separately to achieve better quality of binarization. Evaluation results are presented that compare our technique with existing ones and indicate that the proposed approach is effective, combining the advantages of global and local thresholding. Finally, future directions of our research are mentioned.


Document Image Processing Historical Document Images Binarization Algorithm Hybrid Algorithm 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Vavilis Sokratis
    • 1
  • Ergina Kavallieratou
    • 1
  • Roberto Paredes
    • 2
  • Kostas Sotiropoulos
    • 3
  1. 1.Dept. of Information and Communication Systems EngineeringUniversity of the AegeanGreece
  2. 2.PRHLTUniversidad Politecnica de ValenciaSpain
  3. 3.University of PatrasGreece

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