In contrast to Connectionist Temporal Classification (CTC) approaches,
S...
In order to apply Optical Character Recognition (OCR) to historical prin...
Currently, the most widespread neural network architecture for training
...
Optical Character Recognition (OCR) on historical printings is a challen...
In this paper we evaluate Optical Character Recognition (OCR) of 19th ce...
Optical Character Recognition (OCR) on contemporary and historical data ...
We combine three methods which significantly improve the OCR accuracy of...
This paper proposes a combination of a convolutional and a LSTM network ...
A method is presented that significantly reduces the character error rat...
Convolutional neural networks (CNNs) have become popular especially in
c...
In this paper we introduce a method that significantly reduces the chara...
We propose a high-performance fully convolutional neural network (FCN) f...