The goal of this presentation is to provide insights into which features of handwritten documents are important for statistical
modeling with the task of writer identification and to discuss how these features overlap with features that questioned document examiners typically
examine.
An Exploratory Analysis of Handwriting Features: Investigating Numeric Measurements of Writing That Are Important for Statistical Modeling
Conference/Workshop:
American Academy of Forensic Sciences Annual Scientific Meeting
American Academy of Forensic Sciences Annual Scientific Meeting
Published: 2019
Primary Author: Amy Crawford
Secondary Authors: Alica L. Carriquiry, Danica Ommen
Type: Presentation Slides
Research Area: Handwriting
Related Resources
Bayesian hierarchical modeling for the forensic evaluation of handwritten documents
The analysis of handwritten evidence has been used widely in courts in the United States since the 1930s (Osborn, 1946). Traditional evaluations are conducted by trained forensic examiners. More recently,…
CSAFE 2020 All Hands Meeting
The 2020 All Hands Meeting was held May 12 and 13, 2020 and served as the closing to the last 5 years of CSAFE research and focused on kicking off…
Statistical Analysis of Handwriting: Probabilistic Outcomes for Closed-Set Writer Identification
The goal of this presentation is to provide insights into features of handwritten documents that are important for statistical modeling with the task of writer identification.
A database of handwriting samples for applications in forensic statistics
Handwriting samples were collected from 90 adults for the purpose of developing statistical approaches to the evaluation of handwriting as forensic evidence. Each participant completed three data collection sessions, each…