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A decade: review of scene text detection methods
E Rainarli - Computer Science Review, 2021 - Elsevier
The rapid development of scene text detection shows us the need for text recognition in a
scene image. Road signs recognition, reading the scene image for machine translation, text …
scene image. Road signs recognition, reading the scene image for machine translation, text …
Safeguarding authenticity in text with BERT-powered detection of AI-generated content
U Chakraborty, J Gheewala… - 2024 International …, 2024 - ieeexplore.ieee.org
This research study explores the crucial domain of upholding textual authenticity by
introducing a comprehensive method for identifying AI-generated content, employing BERT …
introducing a comprehensive method for identifying AI-generated content, employing BERT …
Scene text recognition based on bidirectional LSTM and deep neural network
MVVP Kantipudi, S Kumar… - Computational …, 2021 - Wiley Online Library
Deep learning is a subfield of artificial intelligence that allows the computer to adopt and
learn some new rules. Deep learning algorithms can identify images, objects, observations …
learn some new rules. Deep learning algorithms can identify images, objects, observations …
Functional motion detection based on artificial intelligence
L Huang, G Liu - The Journal of Supercomputing, 2022 - Springer
Sports injuries can be a major problem for athletes. Therefore, sports injury protection has
become a key focus of attention in sports and medical circles. With widening participation in …
become a key focus of attention in sports and medical circles. With widening participation in …
Enhanced feature model based hybrid neural network for text detection on signboard, Billboard and news tickers
Recognizing text from the nature scene images and videos has been the challenging task of
computer vision and machine learning research community in recent years. These texts are …
computer vision and machine learning research community in recent years. These texts are …
Probabilistic hough transform for rectifying industrial nameplate images: a novel strategy for improved text detection and precision in difficult environments
H Li, Y Ma, H Bao, Y Zhang - Applied Sciences, 2023 - mdpi.com
Industrial nameplates serve as a means of conveying critical information and parameters. In
this work, we propose a novel approach for rectifying industrial nameplate pictures utilizing a …
this work, we propose a novel approach for rectifying industrial nameplate pictures utilizing a …
Towards AI-enabled approach for Urdu text recognition: a legacy for Urdu image apprehension
Recognizing Urdu text in natural images is more challenging as compared to other
languages, such as English, due to the cursive nature of Urdu script. However, Urdu scene …
languages, such as English, due to the cursive nature of Urdu script. However, Urdu scene …
A multi-layer holistic approach for cursive text recognition
Urdu is a widely spoken and narrated language in several South-Asian countries and
communities worldwide. It is relatively hard to recognize Urdu text compared to other …
communities worldwide. It is relatively hard to recognize Urdu text compared to other …
Prediction of network congestion at router using machine learning technique
YV Sneha, S Boloor, ND Adesh - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
When a burst of packets enters the network, the existing capacity of the network may not be
sufficient to support the traffic which leads to congestion in the network. The packet loss is …
sufficient to support the traffic which leads to congestion in the network. The packet loss is …
Traffsign: Multilingual traffic signboard text detection and recognition for urdu and english
Scene-text detection and recognition methods have demonstrated remarkable performance
on standard benchmark datasets. These methods can be utilized in human-driven/self …
on standard benchmark datasets. These methods can be utilized in human-driven/self …