Mathematics as a secret weapon against criminals
Employing score-based likelihood ratio systems for the comparison of handwriting and studying their quality of performance
A.J. Wijker (TU Delft - Electrical Engineering, Mathematics and Computer Science)
J. Söhl – Mentor (TU Delft - Statistics)
A.T. Hensbergen – Graduation committee member (TU Delft - Applied Probability)
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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.