Scene text detection and recognition: The deep learning era

S Long, X He, C Yao - International Journal of Computer Vision, 2021 - Springer
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 …

Automated vehicle detection and classification: Models, methods, and techniques

A Boukerche, AJ Siddiqui, A Mammeri - ACM Computing Surveys (CSUR …, 2017 - dl.acm.org
Automated Vehicle Classification (AVC) based on vision sensors has received active
attention from researchers, due to heightened security concerns in Intelligent Transportation …

Real-time vehicle make and model recognition based on a bag of SURF features

AJ Siddiqui, A Mammeri… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we propose and evaluate unexplored approaches for real-time automated
vehicle make and model recognition (VMMR) based on a bag of speeded-up robust features …

Real-time (vision-based) road sign recognition using an artificial neural network

KT Islam, RG Raj - Sensors, 2017 - mdpi.com
Road sign recognition is a driver support function that can be used to notify and warn the
driver by showing the restrictions that may be effective on the current stretch of road …

Vision-based autonomous vehicle recognition: A new challenge for deep learning-based systems

A Boukerche, X Ma - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Vision-based Automated Vehicle Recognition (VAVR) has attracted considerable attention
recently. Particularly given the reliance on emerging deep learning methods, which have …

From object detection to text detection and recognition: A brief evolution history of optical character recognition

H Wang, C Pan, X Guo, C Ji… - Wiley Interdisciplinary …, 2021 - Wiley Online Library
Text detection and recognition, which is also known as optical character recognition (OCR),
is an active research area under quick development with a lot of exciting applications. Deep …

Recognition of traffic sign based on bag-of-words and artificial neural network

KT Islam, RG Raj, G Mujtaba - Symmetry, 2017 - mdpi.com
The traffic sign recognition system is a support system that can be useful to give notification
and warning to drivers. It may be effective for traffic conditions on the current road traffic …

Automated image transcription for perinatal blood pressure monitoring using mobile health technology

N Katebi, W Bremer, T Nguyen, D Phan, J Jeff… - PLOS Digital …, 2024 - journals.plos.org
This paper introduces a novel approach to address the challenges associated with
transferring blood pressure (BP) data obtained from oscillometric devices used in self …

[HTML][HTML] Street sign recognition using histogram of oriented gradients and artificial neural networks

KT Islam, S Wijewickrema, RG Raj, S O'leary - Journal of imaging, 2019 - mdpi.com
Street sign identification is an important problem in applications such as autonomous
vehicle navigation and aids for individuals with vision impairments. It can be especially …

MSER-based text detection and communication algorithm for autonomous vehicles

A Mammeri, A Boukerche - 2016 IEEE symposium on …, 2016 - ieeexplore.ieee.org
Text detection and communication in the automotive context has attracted the attention of
researchers only over the past few years. Detecting text in the automotive context, as …