An Overview and Comparison of Software Tools for Quantifying Value of Handwriting Evidence
This presentation is from the 77th Annual Conference of the American Academy of Forensic Sciences (AAFS), Baltimore, Maryland, February 17-22, 2025. Posted with permission of CSAFE.
How signature complexity affects expert and lay ability to distinguish genuine, disguised and simulated signatures
This study examined how variations in signature complexity affected the ability of forensic document examiners (FDEs) and laypeople to determine whether signatures are authentic or simulated (forged), as well as
Score-based Likelihood Ratios Using Stylometric Text Embeddings
We consider the problem setting in which we have two sets of texts in digital form and would like to quantify our beliefs that the two sets of texts were
Challenges in Modeling, Interpreting, and Drawing Conclusions from Images as Forensic Evidence
When a crime is committed, law enforcement directs crime scene experts to obtain evidence that may be pertinent to identifying the perpetrator(s). Much of this evidence comes in the form
Quantifying Bayes Factors for Forensic Handwriting Evidence
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
Quantifying Writer Variance Through Rainbow Triangle Graph Decomposition
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024
A deep learning approach for the comparison of handwritten documents using latent feature vectors
Forensic questioned document examiners still largely rely on visual assessments and expert judgment to determine the provenance of a handwritten document. Here, we propose a novel approach to objectively compare
A statistical approach to aid examiners in the forensic analysis of handwriting
We develop a statistical approach to model handwriting that accommodates all styles of writing (cursive, print, connected print). The goal is to compute a posterior probability of writership of a
CSAFE Project Update & ASCLD FRC Collaboration
This presentation highlighted CSAFE’s collaboration with the ASCLD FRC Collaboration Hub.