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

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

The prevalent perspectives of scene text recognition are from sequence to sequence
(seq2seq) and segmentation. Nevertheless, the former is composed of many components …

Over the past few years, several new methods for scene text recognition have been
proposed. Most of these methods propose novel building blocks for neural networks. These …

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 recognition has attracted great interests from the computer vision and pattern
recognition community in recent years. State-of-the-art methods use concolutional neural …

Inspired by speech recognition, recent state-of-the-art algorithms mostly consider scene text
recognition as a sequence prediction problem. Though achieving excellent performance …

Abstract Models based on extremely deep convolutional networks and attention
mechanisms now have powerful feature extraction abilities, improving text recognition …

We address the problem of image feature learning for scene text recognition. The image
features in the state-of-the-art methods are learned from large-scale synthetic image …

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