Detecting text in natural image with connectionist text proposal network
We propose a novel Connectionist Text Proposal Network (CTPN) that accurately localizes
text lines in natural image. The CTPN detects a text line in a sequence of fine-scale text …
text lines in natural image. The CTPN detects a text line in a sequence of fine-scale text …
Symmetry-based text line detection in natural scenes
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 …
that can extract textual information from natural scenes. Therefore, scene text detection and …
Words matter: Scene text for image classification and retrieval
Text in natural images typically adds meaning to an object or scene. In particular, text
specifies which business places serve drinks (eg, cafe, teahouse) or food (eg, restaurant …
specifies which business places serve drinks (eg, cafe, teahouse) or food (eg, restaurant …
Self-organized text detection with minimal post-processing via border learning
Y Wu, P Natarajan - … of the IEEE international conference on …, 2017 - openaccess.thecvf.com
In this paper we propose a new solution to the text detection problem via border learning.
Specifically, we make four major contributions: 1) We analyze the insufficiencies of the …
Specifically, we make four major contributions: 1) We analyze the insufficiencies of the …
Wetext: Scene text detection under weak supervision
The requiring of large amounts of annotated training data has become a common constraint
on various deep learning systems. In this paper, we propose a weakly supervised scene text …
on various deep learning systems. In this paper, we propose a weakly supervised scene text …
A new technique for multi-oriented scene text line detection and tracking in video
L Wu, P Shivakumara, T Lu… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Text detection and tracking in video is challenging due to contrast, resolution and
background variations, and different orientations and text movements. In addition, the …
background variations, and different orientations and text movements. In addition, the …
What is a good evaluation protocol for text localization systems? Concerns, arguments, comparisons and solutions
S Calarasanu, J Fabrizio, S Dubuisson - Image and Vision Computing, 2016 - Elsevier
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 …
measure its efficiency and adjust its parameters and, second to compare its performances …
A comprehensive review on performance-based comparative analysis, categorization, classification and mapping of text extraction system techniques for images
In today's quick world of images and videos, text extraction became the responsibility of
machine/deep learning techniques. The various techniques utilized for text extraction …
machine/deep learning techniques. The various techniques utilized for text extraction …
Robust blur kernel estimation for license plate images from fast moving vehicles
As the unique identification of a vehicle, license plate is a key clue to uncover over-speed
vehicles or the ones involved in hit-and-run accidents. However, the snapshot of over-speed …
vehicles or the ones involved in hit-and-run accidents. However, the snapshot of over-speed …
Textcatcher: a method to detect curved and challenging text in natural scenes
In this paper, we propose a text detection algorithm which is hybrid and multi-scale. First, it
relies on a connected component-based approach: After the segmentation of the image, a …
relies on a connected component-based approach: After the segmentation of the image, a …