Generating and Smoothing Handwriting with Long Short-Term Memory Networks

Authors

muchigi kimari, Southern Methodist UniversityFollow
Edward Fry, Southern Methodist UniversityFollow
Ikenna Nwaogu, Southern Methodist UniversityFollow
YuMei Bennett, Southern Methodist UniversityFollow
John Santerre, Southern Methodist UniversityFollow

Abstract

This project explores the different neural network methods to generate synthetic handwriting text. The goal is to offer an AI tool that generates handwriting, while maintaining an individual’s style, to people suffering with Dysgraphia. As part of this project, an application development framework is setup on GitHub, in such a way that others can continue to explore and improve the AI tool.

Recommended Citation

kimari, muchigi; Fry, Edward; Nwaogu, Ikenna; Bennett, YuMei; and Santerre, John (2021) "Generating and Smoothing Handwriting with Long Short-Term Memory Networks," SMU Data Science Review: Vol. 5: No. 1, Article 4.
Available at: https://scholar.smu.edu/datasciencereview/vol5/iss1/4