• DocumentCode
    2146801
  • Title

    Restoration of Arbitrarily Warped Historical Document Images Using Flow Lines

  • Author

    Rahnemoonfar, Maryam ; Antonacopoulos, Apostolos

  • Author_Institution
    Pattern Recognition & Image Anal. (PRImA) Res. Lab., Univ. of Salford, Salford, UK
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    905
  • Lastpage
    909
  • Abstract
    Historical documents frequently suffer from arbitrary geometric distortions (warping and folds) due to storage conditions, use and to, some extent, the printing process of the time. In addition, page curl can be prominent due to the scanning technique used. Such distortions adversely affect OCR and print-on-demand quality. Previous approaches to geometric restoration either focus only on the correction of page curl or require supplementary information obtained by additional scanning hardware - not practical for existing scans. This paper presents a new approach to detect and restore arbitrary warping and folds, in addition to page curl. Warped text lines and the smooth deformation between them are precisely modelled as primary and secondary flow lines that are then restored to their original linear shape. Preliminary, but representative, experimental results, in comparison to a leading page curl removal method and an industry-standard commercial system, demonstrate the effectiveness of the proposed method.
  • Keywords
    document image processing; optical character recognition; printing; text analysis; OCR; arbitrarily warped historical document image; flow line; geometric distortion; geometric restoration; industry-standard commercial system; page curl; primary flow line; print-on-demand quality; printing process; scanning hardware; scanning technique; secondary flow line; warped text line; Text analysis; arbitrary warping; dewarping; flow lines; geometric correction; historical documents; page curl removal; text line modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2011 International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4577-1350-7
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2011.184
  • Filename
    6065442