Template Ageing and Longitudinal Verification in Fixed-Text Keystroke Dynamics: A Subject-Disjoint Study Across Eight Weeks
This work compares a scaled-Manhattan matcher, a gradient-boosted classifier, a gradient-boosted classifier, a TypeNet-style recurrent embedding model, and a TypeFormer-style Transformer under a 5-fold subject-disjoint protocol and a design that jointly varies mechanism and the enrolment-to-query gap, and proves large...
Siôn Parkinson, Saad Khan, Na Liu et al.
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