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 …

A general method for text localization and recognition in real-world images is presented. The
proposed method is novel, as it (i) departs from a strict feed-forward pipeline and replaces it …

Text detection and localization in natural scene images is important for content-based image
analysis. This problem is challenging due to the complex background, the non-uniform …

This paper presents a robust text detection approach based on color-enhanced contrasting
extremal region (CER) and neural networks. Given a color natural scene image, six …

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 …

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 …

This paper proposes a two-stage system for text detection in video images. In the first stage,
text lines are detected based on the edge map of the image leading in a high recall rate with …

Scene texts contain rich semantic information which may be used in many vision-based
applications, and consequently detecting and recognizing scene texts have received …

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 …