• DocumentCode
    1632460
  • Title

    Semi-automatic Forensic Reconstruction of Ripped-up Documents

  • Author

    De Smet, P.

  • Author_Institution
    Nationaal Inst. voor Criminalistiek en Criminologie (NICC/INCC), Brussels, Belgium
  • fYear
    2009
  • Firstpage
    703
  • Lastpage
    707
  • Abstract
    Manual reconstruction of ripped-up documents can be a very difficult and time-consuming task. This paper discusses a semi-automatic toolset that can be used for reconstructing ripped-up documents. First, we present a brief overview of our current fragment scanning,image segmentation and feature computation methods. Then, we discuss how fragments can be matched using their computed features. Next, we report on our global multi-fragment matching strategy and discuss the interactive components of the toolset that can be used to control and iterate through an entire reconstruction process. Finally, we illustrate the efficiency of the proposed approach with experimental results.
  • Keywords
    document image processing; feature extraction; forensic science; image matching; image reconstruction; image segmentation; feature computation method; image segmentation; multifragment matching strategy; ripped-up document; semiautomatic forensic reconstruction; Automatic control; Computer vision; Digital images; Forensics; Humans; Image processing; Image reconstruction; Image segmentation; Text analysis; Visual system; document reconstruction; forensics;
  • 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.2009.7
  • Filename
    5277485