Jove
Visualize
Contact Us

Related Experiment Videos

Writer identification using hand-printed and non-hand-printed questioned documents.

Moshe Kam1, Erwei Lin

  • 1Data Fusion Laboratory, Electrical and Computer Engineering Department, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19014, USA.

Journal of Forensic Sciences
|December 3, 2003
PubMed
Summary

Forensic document examiners (FDEs) demonstrated superior writer identification skills compared to laypersons, regardless of document type, including hand-printed materials. This study provides crucial data on FDE proficiency.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Dual Wavelength Photoplethysmography Framework for Heart Rate Calculation.

Sensors (Basel, Switzerland)·2022
Same author

An assessment tool for computer-assisted semen analysis (CASA) algorithms.

Scientific reports·2022
Same author

Heart-rate tuned comb filters for processing photoplethysmogram (PPG) signals in pulse oximetry.

Journal of clinical monitoring and computing·2020
Same author

Correlation of Cognitive Scores and the Onset of Hypoxia.

Aerospace medicine and human performance·2019
Same author

Automatic Tracking and Motility Analysis of Human Sperm in Time-Lapse Images.

IEEE transactions on medical imaging·2016
Same author

Real-Time Hypoxia Prediction Using Decision Fusion.

IEEE journal of biomedical and health informatics·2016
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Area of Science:

  • Forensic Science
  • Document Examination
  • Psychology

Background:

  • Recent judicial inquiries highlight a perceived gap in data regarding forensic document examiner (FDE) proficiency in identifying writers of hand-printed documents.
  • Existing research assessed FDE proficiency with various handwritten documents but lacked specific analysis for hand-printed versus non-hand-printed materials.

Purpose of the Study:

  • To re-analyze existing writer identification data to specifically address the proficiency of FDEs in distinguishing writers of hand-printed documents.
  • To compare the performance of FDEs and laypersons in identifying writers across different document categories (hand-printed, non-hand-printed, cursive, non-cursive).

Main Methods:

  • Re-analysis of 1996 data collected from 90 FDEs and 34 laypersons on writer identification tasks.

Related Experiment Videos

  • Separation and analysis of data based on document type: hand-printed (HP) versus non-hand-printed (NHP).
  • Compilation and statistical comparison of error rates and performance across FDEs and laypersons in HP and NHP categories.
  • Main Results:

    • FDEs consistently outperformed laypersons in writer identification across all document categories (HP, NHP, cursive, non-cursive).
    • No statistically significant difference was found in the performance of FDEs between hand-printed and non-hand-printed documents.
    • No statistically significant difference was found in the performance of laypersons between hand-printed and non-hand-printed documents.
    • Significant differences in performance were observed between FDEs and laypersons in both HP and NHP document categories.

    Conclusions:

    • The study provides empirical evidence supporting the superior proficiency of forensic document examiners over laypersons in writer identification, even for hand-printed documents.
    • The findings address judicial concerns by demonstrating reliable FDE performance across different writing styles, including hand-printed materials.
    • The re-analysis confirms that FDEs' accuracy in writer identification is not significantly affected by whether the documents are hand-printed or not.