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 …

High level semantics embodied in scene texts are both rich and clear and thus can serve as
important cues for a wide range of vision applications, for instance, image understanding …

Recently, a variety of real-world applications have triggered huge demand for techniques
that can extract textual information from natural scenes. Therefore, scene text detection and …

Texture analysis describes a variety of image analysis techniques that quantify the variation
in intensity and pattern. This paper provides an overview of several texture analysis …

Scene text detection and segmentation are two important and challenging research
problems in the field of computer vision. This paper proposes a novel method for scene text …

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 …

We propose a camera-based assistive text reading framework to help blind persons read
text labels and product packaging from hand-held objects in their daily lives. To isolate the …

In this paper, we propose a novel algorithm to detect text information from natural scene
images. Scene text classification and detection are still open research topics. Our proposed …

Scene text detection is a crucial step in end-to-end scene text recognition, a greatly
challenging problem in computer vision. This paper proposes a novel scene text detection …