Text-attentional convolutional neural network for scene text detection
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 …
non-text components in natural images. They extract a high-level feature globally computed …
Robust scene text detection with convolution neural network induced mser trees
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 …
scene text detection. However, this low-level pixel operation inherently limits its capability for …
Real-time scene text localization and recognition
An end-to-end real-time scene text localization and recognition method is presented. The
real-time performance is achieved by posing the character detection problem as an efficient …
real-time performance is achieved by posing the character detection problem as an efficient …
Real-time lexicon-free scene text localization and recognition
An end-to-end real-time text localization and recognition method is presented. Its real-time
performance is achieved by posing the character detection and segmentation problem as an …
performance is achieved by posing the character detection and segmentation problem as an …
Text localization in real-world images using efficiently pruned exhaustive search
An efficient method for text localization and recognition in real-world images is proposed.
Thanks to effective pruning, it is able to exhaustively search the space of all character …
Thanks to effective pruning, it is able to exhaustively search the space of all character …
Recognizing text-based traffic signs
J Greenhalgh, M Mirmehdi - IEEE Transactions on Intelligent …, 2014 - ieeexplore.ieee.org
We propose a novel system for the automatic detection and recognition of text in traffic signs.
Scene structure is used to define search regions within the image, in which traffic sign …
Scene structure is used to define search regions within the image, in which traffic sign …
On combining multiple segmentations in scene text recognition
An end-to-end real-time scene text localization and recognition method is presented. The
three main novel features are:(i) keeping multiple segmentations of each character until the …
three main novel features are:(i) keeping multiple segmentations of each character until the …
Characterness: An indicator of text in the wild
Text in an image provides vital information for interpreting its contents, and text in a scene
can aid a variety of tasks from navigation to obstacle avoidance and odometry. Despite its …
can aid a variety of tasks from navigation to obstacle avoidance and odometry. Despite its …
Scene text detection via stroke width
In this paper, we propose a novel text detection approach based on stroke width. Firstly, a
unique contrast-enhanced Maximally Stable Extremal Region (MSER) algorithm is designed …
unique contrast-enhanced Maximally Stable Extremal Region (MSER) algorithm is designed …
Toward integrated scene text reading
JJ Weinman, Z Butler, D Knoll… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
The growth in digital camera usage combined with a worldly abundance of text has
translated to a rich new era for a classic problem of pattern recognition, reading. While …
translated to a rich new era for a classic problem of pattern recognition, reading. While …