• DocumentCode
    2016574
  • Title

    Advances in Writer Identification and Verification

  • Author

    Schomaker, Lambert

  • Volume
    2
  • fYear
    2007
  • fDate
    23-26 Sept. 2007
  • Firstpage
    1268
  • Lastpage
    1273
  • Abstract
    The behavioral-biometrics methods of writer identification and verification are currently enjoying renewed interest, with very promising results. This paper presents a general background and basis for handwriting biometrics. A range of current methods and applications is given. Results on a number of methods are summarized and a more in-depth example of two combined approaches is presented. By combining textural, allographic and placement features, modern systems are starting to display useful performance levels. However, user acceptance will be largely determined by explainability of system results and the integration of system decisions within a (Bayesian) framework of reasoning that is currently becoming forensic practice.
  • Keywords
    handwriting recognition; allographic features; behavioral-biometrics methods; handwriting biometrics; placement features; textural features; writer identification; writer verification; Application software; Bayesian methods; Biometrics; Displays; Forensics; Handwriting recognition; Humans; Ink; Shape; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
  • Conference_Location
    Parana
  • ISSN
    1520-5363
  • Print_ISBN
    978-0-7695-2822-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.2007.4377119
  • Filename
    4377119