Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data

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2022
Authors
Lim, Andrew
Ommen, Danica
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Copyright 2022, The Authors
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Center for Statistics and Applications in Forensic EvidenceStatistics
Abstract
Primary goals are to examine: 1. Write diversification versus representation. 2. Preservation of handwriting structure versus image density. 3. Input size versus training size. 4. Writer identification complexity assessment using various test sites.
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The following poster was presented at the 106th International Association for Identification (IAI) Annual Educational Conference, Omaha, Nebraska, July 31-Aug 6, 2022. Posted with permission of CSAFE.
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