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 …

With the increasing popularity of practical vision systems and smart phones, text detection in
natural scenes becomes a critical yet challenging task. Most existing methods have focused …

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 …

We present a novel image operator that seeks to find the value of stroke width for each
image pixel, and demonstrate its use on the task of text detection in natural images. The …

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 …

This paper describes the robust reading competitions for ICDAR 2003. With the rapid growth
in research over the last few years on recognizing text in natural scenes, there is an urgent …

Text data present in images and video contain useful information for automatic annotation,
indexing, and structuring of images. Extraction of this information involves detection …

Text spotting end-to-end methods have recently gained attention in the literature due to the
benefits of jointly optimizing the text detection and recognition components. Existing …

This paper gives an algorithm for detecting and reading text in natural images. The algorithm
is intended for use by blind and visually impaired subjects walking through city scenes. We …