Transfer learning improves handwriting recognition in small datasets.
problem Reduced training datasets for handwriting text recognition.
method Transfer learning from a larger database to a smaller one, focusing on retraining the whole CNNLSTM-CTC model.
result Significant improvement in character error rate (CER) with transfer learning, reducing CER from 18.2% to 3.3%.