Abstract In recent years, Intelligent Transportation Systems (ITS) have seen efficient and
faster development by implementing deep learning techniques in problem domains which …

Big Data is an emerging paradigm and has currently become a strong attractor of global
interest, specially within the transportation industry. The combination of disruptive …

Due to recent developments in highway research and increased utilization of vehicles, there
has been significant interest paid on latest, effective, and precise Intelligent Transportation …

This paper presents an efficient and layout‐independent Automatic License Plate
Recognition (ALPR) system based on the state‐of‐the‐art you only look once (YOLO) object …

The Internet of Vehicles (IoV) is an emerging paradigm, driven by recent advancements in
vehicular communications and networking. Meanwhile, the capability and intelligence of …

Automatic license plate (ALP) detection and recognition is an important task for both traffic
surveillance and parking management systems, as well as being crucial to maintaining the …

Achieving good recognition results for License plates is challenging due to multiple adverse
factors. For instance, in Malaysia, where private vehicle (eg, cars) have numbers with dark …

This paper proposes a framework combing a fully convolutional network with broad learning
system for license plate recognition. The fully convolutional network, which is designed as a …

Chinese character recognition (CCR) has drawn continuous research interest due to its wide
applications. After decades of study, there still exist several challenges, eg, different …

License plate detection and recognition (LPDR) has attracted considerable attention in
recent years, and many algorithms have presented the competitive performance on several …