Text recognition in the wild: A survey
The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …
information carried by text is important in a wide range of vision-based application …
Scene text detection and recognition: The deep learning era
With the rise and development of deep learning, computer vision has been tremendously
transformed and reshaped. As an important research area in computer vision, scene text …
transformed and reshaped. As an important research area in computer vision, scene text …
ICDAR 2015 competition on robust reading
D Karatzas, L Gomez-Bigorda… - 2015 13th …, 2015 - ieeexplore.ieee.org
Results of the ICDAR 2015 Robust Reading Competition are presented. A new Challenge 4
on Incidental Scene Text has been added to the Challenges on Born-Digital Images …
on Incidental Scene Text has been added to the Challenges on Born-Digital Images …
Multi-oriented text detection with fully convolutional networks
In this paper, we propose an unconventional approach for text detection in natural images.
Both global and local cues are taken into account for localizing text lines in a coarse-to-fine …
Both global and local cues are taken into account for localizing text lines in a coarse-to-fine …
[HTML][HTML] Tools, techniques, datasets and application areas for object detection in an image: a review
J Kaur, W Singh - Multimedia Tools and Applications, 2022 - Springer
Object detection is one of the most fundamental and challenging tasks to locate objects in
images and videos. Over the past, it has gained much attention to do more research on …
images and videos. Over the past, it has gained much attention to do more research on …
Reading text in the wild with convolutional neural networks
In this work we present an end-to-end system for text spotting—localising and recognising
text in natural scene images—and text based image retrieval. This system is based on a …
text in natural scene images—and text based image retrieval. This system is based on a …
Speeding up convolutional neural networks with low rank expansions
The focus of this paper is speeding up the evaluation of convolutional neural networks.
While delivering impressive results across a range of computer vision and machine learning …
While delivering impressive results across a range of computer vision and machine learning …
Synthetic data and artificial neural networks for natural scene text recognition
In this work we present a framework for the recognition of natural scene text. Our framework
does not require any human-labelled data, and performs word recognition on the whole …
does not require any human-labelled data, and performs word recognition on the whole …
Text detection and recognition in imagery: A survey
Q Ye, D Doermann - IEEE transactions on pattern analysis and …, 2014 - ieeexplore.ieee.org
This paper analyzes, compares, and contrasts technical challenges, methods, and the
performance of text detection and recognition research in color imagery. It summarizes the …
performance of text detection and recognition research in color imagery. It summarizes the …
Deep features for text spotting
The goal of this work is text spotting in natural images. This is divided into two sequential
tasks: detecting words regions in the image, and recognizing the words within these regions …
tasks: detecting words regions in the image, and recognizing the words within these regions …