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Poster

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.
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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.
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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
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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,
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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
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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
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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
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A Data-Driven Approach to Model the Generation Process of Bloodstain Patterns

This poster was presented at the 106th International Association for Identification
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A Pipeline for Cartridge Case Comparisons

We introduce novel sub-procedures in the pre-processing, comparison and similarity feature steps. The sub-procedures result in an improved error rate compared to our implementation of the CMC method while also
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Jury Perception of Bullet Matching Algorithms and Demonstrative Evidence

Presented at Joint Statistical Meetings
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