In this paper, we explore different ways of training a model for handwri...
Recent advancements in Deep Learning-based Handwritten Text Recognition ...
This paper presents a complete workflow designed for extracting informat...
We propose a new database for information extraction from historical
han...
We propose a Transformer-based approach for information extraction from
...
Deep neural networks are becoming increasingly powerful and large and al...
Handwritten Text Recognition (HTR) is an open problem at the intersectio...
Text line segmentation is one of the key steps in historical document
un...
The segmentation of complex images into semantic regions has seen a grow...
In this paper, we introduce a fully convolutional network for the docume...
We introduce in this paper a new dataset of annotated pages from books o...
Recurrent neural networks (RNNs) with Long Short-Term memory cells curre...