How signature complexity affects expert and lay ability to distinguish genuine, disguised and simulated signatures

Type: Publication Research Area(s): Handwriting

Published: 2024 | By: Nicholas Scurich

This study examined how variations in signature complexity affected the ability of forensic document examiners (FDEs) and laypeople to determine …

Score-based Likelihood Ratios Using Stylometric Text Embeddings

Type: Poster Research Area(s): Forensic Statistics, Handwriting

Published: 2024 | By: Rachel Longjohn

We consider the problem setting in which we have two sets of texts in digital form and would like to …

Challenges in Modeling, Interpreting, and Drawing Conclusions from Images as Forensic Evidence

Published: 2024 | By: Karen Kafadar

When a crime is committed, law enforcement directs crime scene experts to obtain evidence that may be pertinent to identifying …

A deep learning approach for the comparison of handwritten documents using latent feature vectors

Published: 2024 | By: Juhyeon Kim

Forensic questioned document examiners still largely rely on visual assessments and expert judgment to determine the provenance of a handwritten …

A statistical approach to aid examiners in the forensic analysis of handwriting

Published: 2023 | By: Amy Crawford

We develop a statistical approach to model handwriting that accommodates all styles of writing (cursive, print, connected print). The goal …

Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data

Type: Poster Research Area(s): Forensic Statistics, Handwriting

Published: 2023 | By: Pilhyun (Andrew) Lim

Identifying the source of handwriting is an important application in the field of forensic science that addresses questioned document evidence …

Quantifying Bayes Factors for Forensic Handwriting Evidence

Type: Poster Research Area(s): Forensic Statistics, Handwriting

Published: 2023 | By: Anyesha Ray

Questioned Document Examiners (QDEs) are tasked with analyzing handwriting evidence to make source (or writership) determinations. The Center for Statistics …