Automated Writer and Acquisition-Condition Classification of Digitally Captured Handwriting Using Statistical Dynamic Features and Support Vector Machines

Digitally captured handwriting preserves pen trajectories and dynamic signals, but it also records hardware- and input-dependent properties that can confound forensic interpretation. This study revises a support vector machine (SVM) screening framework using 16,500 samples from 30 writers, 11 writin