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 detection is an important step of scene text recognition system and also a
challenging problem. Different from general object detections, the main challenges of scene …

Results of the ICDAR 2015 Robust Reading Competition are presented. A new Challenge 4
on Incidental Scene Text has been added to the Challenges on Born-Digital Images …

Scene text detection is an important step in the scene text reading system. The main
challenges lie in significantly varied sizes and aspect ratios, arbitrary orientations, and …

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 …

This report presents the final results of the ICDAR 2013 Robust Reading Competition. The
competition is structured in three Challenges addressing text extraction in different …

Script identification plays a significant role in analysing documents and videos. In this paper,
we focus on the problem of script identification in scene text images and video scripts …

Mobile dating apps have become a popular means to meet potential partners. Although
several exist, one recent addition stands out amongst all others. Tinder presents its users …

In this paper, we propose a novel text-based traffic sign detection framework with two deep
learning components. More precisely, we apply a fully convolutional network to segment …

Script identification facilitates many important applications in document/video analysis. This
paper investigates a relatively new problem: identifying scripts in natural images. The basic …