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

Thumbnail Image
Date
2020-02-17
Authors
Crawford, Amy
Carriquiry, Alicia
Ommen, Danica
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Research Projects
Organizational Units
Organizational Unit
Center for Statistics and Applications in Forensic Evidence
The Center for Statistics and Applications in Forensic Evidence (CSAFE) carries out research on the scientific foundations of forensic methods, develops novel statistical methods and transfers knowledge and technological innovations to the forensic science community. We collaborate with more than 80 researchers and across six universities to drive solutions to support our forensic community partners with accessible tools, open-source databases and educational opportunities.
Organizational Unit
Statistics
As leaders in statistical research, collaboration, and education, the Department of Statistics at Iowa State University offers students an education like no other. We are committed to our mission of developing and applying statistical methods, and proud of our award-winning students and faculty.
Journal Issue
Is Version Of
Versions
Series
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.

Comments

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.

Description
Keywords
Citation
DOI
Source
Copyright
Wed Jan 01 00:00:00 UTC 2020