The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …

This paper analyzes, compares, and contrasts technical challenges, methods, and the
performance of text detection and recognition research in color imagery. It summarizes the …

Scene text recognition has been a hot research topic in computer vision due to its various
applications. The state of the art is the attention-based encoder-decoder framework that …

Image-based sequence recognition has been a long-standing research topic in computer
vision. In this paper, we investigate the problem of scene text recognition, which is among …

Recognizing text in natural images is a challenging task with many unsolved problems.
Different from those in documents, words in natural images often possess irregular shapes …

In this work we present an end-to-end system for text spotting—localising and recognising
text in natural scene images—and text based image retrieval. This system is based on a …

We present recursive recurrent neural networks with attention modeling (R2AM) for lexicon-
free optical character recognition in natural scene images. The primary advantages of the …

Recognizing text from natural images is a hot research topic in computer vision due to its
various applications. Despite the enduring research of several decades on optical character …

In this work we present a framework for the recognition of natural scene text. Our framework
does not require any human-labelled data, and performs word recognition on the whole …

The goal of this work is text spotting in natural images. This is divided into two sequential
tasks: detecting words regions in the image, and recognizing the words within these regions …