Abstract by Jacob Harris
Comparison of CNN Models in Handwriting Recognition
The pursuit of accurate handwriting recognition using machine learning and convolutional neural networks has been a recent objective that has yielded promising results over the past decade. Numerous neural networks have been created, trained, and have produced highly accurate results. Here the effectiveness of current CNNs are examined and different models compared.