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 …

One of the major applications of text retrieval from images is to extract the text information
and then recognize its characters. This is helpful for indexing the images within storage …

The problem of text extraction is an interesting area of research in computer vision domain.
In the recent years, emergence of various applications on smart hand-held devices such as …