Centro de Documentação da PJ
Analítico de Periódico

CD 340
CRAWFORD, Amy M., e outros
A statistical approach to aid examiners in the forensic analysis of handwriting [Recurso eletrónico] / Amy M. Crawford, Danica M. Ommen, Alicia L. Carriquiry
Journal of Forensic Sciences, Vol. 68, n. 5 (September 2023), p. 1768-1779
Ficheiro de 7,04 MB em formato PDF.


ESCRITA MANUAL , ANÁLISE DE DOCUMENTO, EXAME À ESCRITA, PROVA, ANÁLISE LABORATORIAL

We develop a statistical approach to model handwriting that accommodates all styles of writing (cursive, print, connected print). The goal is to compute a posterior probability of writership of a questioned document given a closed set of candidate writers. Such probabilistic statements can support examiner conclusions and enable a quantitative forensic evaluation of handwritten documents. Writing is treated as a sequence of disjoint graphical structures, which are extracted using an automated and open-source process. The graphs are grouped based on the similarity of their shapes through a K-means clustering template. A person's writing pattern can be characterized by the rate at which graphs are emitted to each cluster. The cluster memberships serve as data for a Bayesian hierarchical model with a mixture component. The rate of mixing between two parameters in the hierarchy indicates writing style.