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
Machine learning-based Score Likelihood Ratios have been proposed as an alternative to traditional Likelihood Ratio and Bayes Factor to quantify the value of forensic evidence. Scores allow formulating comparisons using
In forensic investigations, the goal of evidence evaluation is often to address source-/identity-based questions in which the evidence consists of two sets of observations: one from an unknown source tied
Primary goals are to examine: 1. Write diversification versus representation. 2. Preservation of handwriting structure versus image density. 3. Input size versus training size. 4. Writer identification complexity assessment using
Forensics studies of feature-based comparison decisions typically focus on the accuracy and reliability the decisions. Decisions can be reports in the form of binary conclusions (value / no value) or
With the increasing ability to easily collect and analyze data, statistics plays a more critical role in scientific research activities, such as designing experiments, controlling processes, and understanding or validating