• DocumentCode
    1638574
  • Title

    Capturing Reliable Data for Computer-Based Forensic Handwriting Analysis II: Pen-position Activations

  • Author

    Franke, Katrin

  • Author_Institution
    Norwegian Inf. Security Lab., Gjovik Univ. Coll., Gjovik, Norway
  • fYear
    2009
  • Firstpage
    1310
  • Lastpage
    1314
  • Abstract
    The forensic investigation of a questioned signature written on a piece of paper is a challenging task. Electronic pen-tablets for recording writing movements are considered valuable tools to assist in this effort. However, little is known about the precision and reliability of such electronic devices that are not intended as forensic equipment originally. Moreover, very few studies are conducted on the minimal requirements that would support appropriate forensic signature analysis. This paper presents a systematic study on the accuracy of online pen positions, which extends our previous work on the reliability of pen-force records. Implications of pen-tip displacements are discussed in the context of on- and offline signature data that is produced simultaneously. A basic method and advanced morphing algorithm are detailed that tackle (in)deterministic positioning errors. Experimental results on the processing of 100 authentic signatures and 93 skilled forgeries are reported finally.
  • Keywords
    handwriting recognition; notebook computers; advanced morphing algorithm; capturing reliable data; computer-based forensic handwriting analysis; deterministic positioning errors; electronic device; electronic pen tablets; forensic equipment originally; offline signature data; online pen position; pen force records; pen position activation; pen tip displacements; reliability; support appropriate forensic signature analysis; Educational institutions; Forensics; Handwriting recognition; Image analysis; Information analysis; Information security; Ink; Laboratories; Text analysis; Writing;
  • 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.2009.255
  • Filename
    5277713