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
Aligning Shoeprint Images that have nonlinear distortion effects
Shoeprints are aligned before assessing similarity, and automatic alignment algorithms can handle differences in translation, rotation [1], and scale. But shoeprints recorded at a crime scene may be partials photographed
Producing Datasets: Capturing Images on Multi-Camera Smartphones for Source Camera Identification
This poster introduces the new CSAFE Multi-camera Smartphone Image Database and describes how the image were collected and reviewed.
The Impact of Zoom on Smartphone Camera Identification
This poster explores the impact of digital zoom on source camera identification. Images were collected at 5 zoom magnifications using the telephoto cameras of ten iPhone 14 Pro smartphones.
A Semi-Automatic Tool for Footwear Impression Alignment
We introduce a semi-automatic alignment tool tailored for two similar footwear impressions. The term “semi-automatic” is used because the alignment process is primarily automated, yet users have the flexibility to
Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data
Identifying the source of handwriting is an important application in the field of forensic science that addresses questioned document evidence found in criminal cases and civil litigation. It is difficult,
Quantifying Bayes Factors for Forensic Handwriting Evidence
Questioned Document Examiners (QDEs) are tasked with analyzing handwriting evidence to make source (or writership) determinations. The Center for Statistics and Applications of Forensic Evidence (CSAFE) has previously developed computational
Quantifying Writer Variance Through Rainbow Triangle Graph Decomposition of the Common Word “the”
Handwriting comparative analysis is based on the principle that no two individuals can produce the same writing and that an individual cannot exactly reproduce his/her handwriting. This project aims to
A Likelihood Ratio Approach for Detecting Behavioral Changes in Device Usage Over Time
This work focuses on the situation in which investigators have obtained as evidence logs of user-generated activities on a device, such as sending text messages or emails, opening or interacting
A Data-Driven Approach to Model the Generation Process of Bloodstain Patterns
This poster was presented at the 106th International Association for Identification