In this work, we jointly address the problem of text detection and recognition in natural scene
images based on convolutional recurrent neural networks. We propose a unified network …

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 …

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

Uyghur text localization in images with complex backgrounds is a challenging yet important
task for many applications. Generally, Uyghur characters in images consist of strokes with …

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 …

Refinement mappings are used to prove that a lower-level specification correctly implements
a higher-level one. We consider specifications consisting of a state machine (which may be …

In this paper, we address the problem of recognizing degradation images that are suffering
from high blur or low-resolution. We propose a novel degradation aware scene text …

Recently, the massive growth in the scale of data has been observed as a major issue in the
Big Data. Furthermore, the Big Data should be preprocessed for normalization to get a high …

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 …

Text detection in complex background images is a challenging task for intelligent vehicles.
Actually, almost all the widely-used systems focus on commonly used languages while for …