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 …

Text detection in the real world images captured in unconstrained environment is an
important yet challenging computer vision problem due to a great variety of appearances …

Recent deep learning models have demonstrated strong capabilities for classifying text and
non-text components in natural images. They extract a high-level feature globally computed …

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 …

Abstract Maximally Stable Extremal Regions (MSERs) have achieved great success in
scene text detection. However, this low-level pixel operation inherently limits its capability for …

Text detection in natural scene images is an important prerequisite for many content-based
image analysis tasks, while most current research efforts only focus on horizontal or near …

In this paper, we present a new approach for text localization in natural images, by
discriminating text and non-text regions at three levels: pixel, component and textline levels …

This paper presents a novel scene text detection algorithm, Canny Text Detector, which
takes advantage of the similarity between image edge and text for effective text localization …

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 …