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

Text, as one of the most influential inventions of humanity, has played an important role in
human life, so far from ancient times. The rich and precise information embodied in text is …

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 …

Most existing text spotting methods either focus on horizontal/oriented texts or perform
arbitrary shaped text spotting with character-level annotations. In this paper, we propose a …

In this paper, we first provide a new perspective to divide existing high performance object
detection methods into direct and indirect regressions. Direct regression performs boundary …

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 …

Recent deep learning models have demonstrated strong capabilities for classifying text and
non-text components in natural images. They extract a high-level feature globally computed …

Abstract Maximally Stable Extremal Regions (MSERs) have achieved great success in
scene text detection. However, this low-level pixel operation inherently limits its capability for …

Text detection in natural scene images is an important prerequisite for many content-based
image analysis tasks. In this paper, we propose an accurate and robust method for detecting …

Imagery texts are usually organized as a hierarchy of several visual elements, ie characters,
words, text lines and text blocks. Among these elements, character is the most basic one for …