Presentation Type
Poster
Student
Yes
Track
Forensic Statistics
Abstract
Trained experts currently perform the handwriting analysis required in the criminal justice field, but this can create biases, delays, and expenses, leaving room for improvement. Prior research has sought to address this by analyzing handwriting through feature-based and score-based likelihood ratios for assessing evidence within a probabilistic framework. However, error rates are not well defined within this framework, making it difficult to evaluate the method and can lead to making a greater-than-expected number of errors when applying the approach. This research explores a method for assessing handwriting within the Two-Stage framework, which allows for quantifying error rates as recommended by a federal report by PCAST (Forensic Science in Criminal Courts: Ensuring Scientific Validity of Feature Comparison Methods). The coincidence probabilities produced here can be used in later research to asses error rates using a ROC curve.
Start Date
2-7-2023 1:00 PM
End Date
2-7-2023 2:00 PM
Included in
Two-Stage Approach for Forensic Handwriting Analysis
Volstorff A
Trained experts currently perform the handwriting analysis required in the criminal justice field, but this can create biases, delays, and expenses, leaving room for improvement. Prior research has sought to address this by analyzing handwriting through feature-based and score-based likelihood ratios for assessing evidence within a probabilistic framework. However, error rates are not well defined within this framework, making it difficult to evaluate the method and can lead to making a greater-than-expected number of errors when applying the approach. This research explores a method for assessing handwriting within the Two-Stage framework, which allows for quantifying error rates as recommended by a federal report by PCAST (Forensic Science in Criminal Courts: Ensuring Scientific Validity of Feature Comparison Methods). The coincidence probabilities produced here can be used in later research to asses error rates using a ROC curve.