Statistical Analysis of Handwriting: Probabilistic Outcomes for Closed-Set Writer Identification.

Date
2020-02-17
Authors
Crawford, Amy
Carriquiry, Alicia
Ommen, Danica
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Altmetrics
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Center for Statistics and Applications in Forensic EvidenceStatistics
Abstract

Learning Overview: The goal of this presentation is to provide insights into features of handwritten documents that are important for statistical modeling with the task of writer identification.

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Crawford, A., Carriquiry, A., Ommen, D., Statistical Analysis of Handwriting: Probabilistic Outcomes for closed –set writer identification, 2020 AAFS, Anaheim, CA. Posted with permission of CSAFE.

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