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 in natural scene images plays a vital role in scene understanding. It contains a rich and
abundant amount of valuable semantic information useful in many applications such as …

Scene text detection and recognition has become a very active research topic in recent
several years. It can find many applications in reality ranging from navigation for vision …

With the increasing popularity of portable camera devices and embedded visual processing,
text extraction from natural scene images has become a key problem that is deemed to …

Many computer vision-based techniques utilize semantic information ie scene text present in
a natural scene for image analysis. Subsequently, in recent times researchers pay more …

The problem of detecting and recognizing text in natural scenes has proved to be more
challenging than its counterpart in documents, with most of the previous work focusing on a …

In this paper, we propose a framework for isolating text regions from natural scene images.
The main algorithm has two functions: it generates text region candidates, and it verifies of …

We have proposed a complete system for text detection and localization in gray scale scene
images. A boosting framework integrating feature and weak classifier selection based on …

摘要本文对自然场景文本检测问题及其方法的研究进展进行了综述. 首先,
论述了自然场景文本的特点, 自然场景文本检测技术的研究背景, 现状以及主要技术路线. 其次 …

Text detection in natural images remains a very challenging task. For instance, in an urban
context, the detection is very difficult due to large variations in terms of shape, size, color …