Mathematics as a secret weapon against criminals

Employing score-based likelihood ratio systems for the comparison of handwriting and studying their quality of performance

Bachelor thesis (2022)

Authors

A.J. Wijker Electrical Engineering, Mathematics and Computer Science

Contributors

J. Söhl Statistics - EEMCS (supervisor 1)
A.T. Hensbergen Applied Probability - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Alyssa Wijker
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Published Date

01-07-2022

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

In this report a new approach to (forensic) handwriting analysis is presented; score-based likelihood ratio (SLR) systems are employed and their quality of performance is studied. These systems compare elements of handwriting based on their characteristics and give an insight into the degree of uncertainty of the statement that two writings have the same writer. They can be used in forensic and fraud investigations.