Skip to content

Statistical Analysis of Handwriting for Writer Identification

Conference/Workshop:
American Society of Questioned Document Examiners Annual Meeting
Published: 2019
Primary Author: Amy Crawford
Secondary Authors: Nick Berry, Alicia L. Carriquiry, Danica Ommen
Type: Presentation Slides
Research Area: Handwriting
View Full Article

This presentation overviews the use of a statistical model to provide probabilistic statements of writership for handwritten documents.

Related Resources

Comparing handwriter and FLASH ID®, Two Handwriting Analysis Programs

Comparing handwriter and FLASH ID®, Two Handwriting Analysis Programs

FLASH ID and handwriter are computer programs that compare questioned handwritten documents against handwritten samples from known writers. FLASH ID was developed by Sciometrics and is used by the FBI,…
Read More
Error Rate Methods for Forensic Handwriting Identification

Error Rate Methods for Forensic Handwriting Identification

Presentation is from the 106th International Association for Identification (IAI) Annual Educational Conference
Read More
Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data

Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data

Primary goals are to examine: 1. Write diversification versus representation. 2. Preservation of handwriting structure versus image density. 3. Input size versus training size. 4. Writer identification complexity assessment using…
Read More
Center for Statistics and Application in Forensic Evidence Update

Center for Statistics and Application in Forensic Evidence Update

The information below highlights a sample of current research initiatives led by the CSAFE team. Additional accomplishments in other forensic science disciplines will be discussed in subsequent issues of Forensic…
Read More