Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data
Copyright 2022, The Authors
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Center for Statistics and Applications in Forensic EvidenceStatistics
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.
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.