Nowadays, scene text recognition has attracted more and more attention due to its various
applications. Most state-of-the-art methods adopt an encoder-decoder framework with …

Scene text image contains two levels of contents: visual texture and semantic information.
Although the previous scene text recognition methods have made great progress over the …

Scene text recognition has attracted particular research interest because it is a very
challenging problem and has various applications. The most cutting-edge methods are …

In this article, we present Convoluitional Attention Networks (CAN) for unconstrained scene
text recognition. Recent dominant approaches for scene text recognition are mainly based …

Scene text with an irregular layout is difficult to recognize. To this end, a Sequential
Transformation Attention-based Network (STAN), which comprises a sequential …

Abstract Connectionist Temporal Classification (CTC) and attention mechanism are two
main approaches used in recent scene text recognition works. Compared with attention …

Recent dominant approaches for scene text recognition are mainly based on convolutional
neural network (CNN) and recurrent neural network (RNN), where the CNN processes …

The attention-based encoder-decoder framework has recently achieved impressive results
for scene text recognition, and many variants have emerged with improvements in …

Scene text recognition is a hot research topic in computer vision. Recently, many recognition
methods based on the encoder-decoder framework have been proposed, and they can …

Scene text recognition has attracted a great many researches due to its importance to
various applications. Existing methods mainly adopt recurrence or convolution based …