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 …

The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …

Researchers in the fields of machine learning and artificial intelligence have recently begun
to focus their attention on object recognition. One of the biggest obstacles in image …

License plate recognition is an important research topic in image recognition, which plays a
vital role in helping the government effectively manage vehicles. At present, most license …

Recent years have seen significant developments in the field of License Plate Recognition
(LPR) through the integration of deep learning techniques and the increasing availability of …

This work draws attention to the large fraction of near-duplicates in the training and test sets
of datasets widely adopted in License Plate Recognition (LPR) research. These duplicates …

Accurate and fast recognition of vehicle license plates from natural scene images is a crucial
and challenging task. Existing methods can recognize license plates in simple scenarios …

Power efficiency for license plate recognition (LPR) under unconstrained scenarios is a
crucial factor in many edge-based real-world applications, eg, autonomous vehicles whose …

Video recording has been extensively studied for seizure detection and classification due to
its convenience of collection. Most existing vision-based studies generally followed a two …

License Plate Detection and Recognition (LPDR) is widely used in Intelligent Transportation
Systems (ITS). Although there are typically multiple categories of license plates, the majority …