DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition

This repository allows to use the DAN model, a Segmentation-free Document Attention Network for Handwritten Document Recognition. Both training and inference are possible using the multiple commands exposed.

The model uses a character-level attention to handle slanted lines:

Click here to learn more about the model and how it fares against SOTA models.

Get started with DAN now!