The problem of recognizing text in images taken in the wild has gained significant attention
from the computer vision community in recent years. Contrary to recognition of printed …

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 …

Scene text recognition (STR) has been an active research topic in computer vision for years.
To tackle this challenging problem, numerous innovative methods have been successively …

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 …

Scene text recognition (STR) is the recognition of text anywhere in the environment, such as
signs and storefronts. Relative to document recognition, it is challenging because of font …

Recognizing text in images taken in the wild is a challenging problem that has received
great attention in recent years. Previous methods addressed this problem by first detecting …

Scene text recognition is a useful but very challenging task due to uncontrolled condition of
text in natural scenes. This paper presents a novel approach to recognize text in scene …

Abstract Language prior plays an important role in the way humans perceive and recognize
text in the wild. In this work, we present an approach to train and use scene text recognition …

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

Driven by the wide range of applications, scene text detection and recognition have become
active research topics in computer vision. Though extensively studied, localizing and …