• DocumentCode
    1635450
  • Title

    Registration and Enhancement of Double-Sided Degraded Manuscripts Acquired in Multispectral Modality

  • Author

    Tonazzini, Anna ; Bianco, Gianfranco ; Salerno, Emanuele

  • Author_Institution
    Ist. di Scienza e Tecnol. dell´´Inf., Consiglio Naz. delle Ric., Pisa, Italy
  • fYear
    2009
  • Firstpage
    546
  • Lastpage
    550
  • Abstract
    We propose a system to process multispectral scans of double-sided documents. It can co-register any number of recto and verso channel maps, and reduce the bleed-through/show-through distortions by exploiting blind source separation. From RGB scans, it is also able to recover the original colors, thus improving the readability of a document while maintaining its original appearance. The recto and verso patterns obtained can then be further analyzed. Many approaches to this problem are based on single-channel or multichannel recto-verso scans. In any case, getting rid of the unwanted interferences is a challenging problem. All the methods relying on pixel intensities, such as the one presented here, need a very accurate co-registration, and this is difficult for recto-verso pairs since the relevant information is often very sparse.
  • Keywords
    blind source separation; distortion; document image processing; image colour analysis; image enhancement; image registration; statistical analysis; RGB scan; bleed-through/show-through distortion; blind source separation; document readability; double-sided degraded manuscript; double-sided document; image color analysis; image enhancement; image registration; multichannel recto-verso scan; multispectral modality; recto channel map; single-channel recto-verso scan; statistical analysis; unwanted interference; verso channel map; Blind source separation; Data models; Degradation; Gray-scale; Humans; Image analysis; Image color analysis; Information analysis; Interference; Source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.131
  • Filename
    5277597