• DocumentCode
    249842
  • Title

    A semi-automatic deshredding method based on curve matching

  • Author

    Shize Shang ; Sencar, H.T. ; Memon, N. ; Xiangwei Kong

  • Author_Institution
    Dalian Univ. of Technol., Dalian, China
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    5537
  • Lastpage
    5541
  • Abstract
    We present a semi-automatic method to reconstruct shredded documents. The novelty of the method lies in the way it performs pairwise matching of chads. The technique divides chad contours into curves using corner detection and introduces a procedure to assess the match of two curves. The proposed curve matching technique is robust to translation and rotation and can cope with shape deformations due to shredding by allowing overlapping of chads during matching. The alignment of text lines, crossing characters and color information on the chads is also utilized to improve matching performance. Visual interfaces are designed to allow for user input in identifying correctly matching chad pairs and reconstructing the document. The effectiveness of the method is demonstrated by solving the first and second puzzles of the DARPA shredder challenge.
  • Keywords
    document image processing; image matching; text detection; DARPA shredder; color information; corner detection; crossing characters; curve matching technique; pairwise matching; semiautomatic deshredding method; shape deformations; shredded documents; text lines; visual interfaces; Color; Educational institutions; Image color analysis; Image edge detection; Image reconstruction; Image segmentation; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7026120
  • Filename
    7026120