The intelligent analysis of video data is currently in wide demand because a video is a major
source of sensory data in our lives. Text is a prominent and direct source of information in …

The prevalent scene text detection approach follows four sequential steps comprising
character candidate detection, false character candidate removal, text line extraction, and …

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 …

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 …

Scene text detection from video as well as natural scene images is challenging due to the
variations in background, contrast, text type, font type, font size, and so on. Besides, arbitrary …

Text detection and recognition in poor quality video is a challenging problem due to
unpredictable blur and distortion effects caused by camera and text movements. This affects …

A trustworthy protocol is essential to evaluate a text detection algorithm in order to, first
measure its efficiency and adjust its parameters and, second to compare its performances …

With the development of deep learning, scene text detection methods have made great
progress in recent years. Most text detection methods are based on bounding box prediction …

Develo** a text detection method which is invariant to scripts in natural scene images is a
challenging task due to different geometrical structures of various scripts. Besides, multi …

Maximally stable extremal regions (MSER), which is a popular method to generate character
proposals/candidates, has shown superior performance in scene text detection. However …