IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v57y2008i3p329-341.html
   My bibliography  Save this article

Probabilistic evaluation of handwriting evidence: likelihood ratio for authorship

Author

Listed:
  • Silvia Bozza
  • Franco Taroni
  • Raymond Marquis
  • Matthieu Schmittbuhl

Abstract

Summary. The evaluation of handwritten characters that are selected from an anonymous letter and written material from a suspect is an open problem in forensic science. The individualization of handwriting is largely dependent on examiners who evaluate the characteristics in a qualitative and subjective way. Precise individual characterization of the shape of handwritten characters is possible through Fourier analysis: each handwritten character can be described through a set of variables such as the surface and harmonics as demonstrated by Marquis and co‐workers in 2005. The assessment of the value of the evidence is performed through the derivation of a likelihood ratio for multivariate data. The methodology allows the forensic scientist to take into account the correlation between variables, and the non‐constant variability within sources (i.e. individuals). Numerical procedures are implemented to handle the complexity and to compute the marginal likelihood under competing propositions.

Suggested Citation

  • Silvia Bozza & Franco Taroni & Raymond Marquis & Matthieu Schmittbuhl, 2008. "Probabilistic evaluation of handwriting evidence: likelihood ratio for authorship," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(3), pages 329-341, June.
    • Handle: RePEc:bla:jorssc:v:57:y:2008:i:3:p:329-341
    DOI: 10.1111/j.1467-9876.2007.00616.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9876.2007.00616.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-9876.2007.00616.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ivo Alberink & Annabel Bolck & Sonja Menges, 2013. "Posterior likelihood ratios for evaluation of forensic trace evidence given a two-level model on the data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(12), pages 2579-2600, December.
    2. Jan Hannig & Hari Iyer, 2022. "Testing for calibration discrepancy of reported likelihood ratios in forensic science," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 267-301, January.
    3. Jonathan J. Koehler, 2011. "If the Shoe Fits They Might Acquit: The Value of Forensic Science Testimony," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 8(s1), pages 21-48, December.
    4. Christopher Galbraith & Padhraic Smyth & Hal S. Stern, 2020. "Quantifying the association between discrete event time series with applications to digital forensics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1005-1027, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jorssc:v:57:y:2008:i:3:p:329-341. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.