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.
Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data
Conference/Workshop:
106th International Association for Identification (IAI) Annual Educational Conference
106th International Association for Identification (IAI) Annual Educational Conference
Published: 2022
Primary Author: Andrew Lim
Secondary Authors: Danica Ommen
Type: Poster
Research Area: Handwriting
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