Recently, deep learning-based methods have reached an excellent performance on License Plate (LP) detection and recognition tasks. However, it is still challenging to build a robust model for Chinese LPs since there are not enough large representative datasets. In this work, we propose new dataset named Road Dataset (CRPD) that contains multi-objective LP images as supplement the existing publi...

With the explosive growth in number of vehicles use, automated license plate recognition (ALPR) systems are required for a wide range tasks such as law enforcement, surveillance, and toll booth operations. The operational specifications these diverse due to differences intended application. For instance, they may need run on handheld devices or cloud servers, operate low light adverse weather c...

There are many existing studies released in the field of Computer Vision, especially Automatic License Plate Recognition. However, most them focused on using one method at time, such as Thresholding algorithms, Edge Detections or Morphological transformations. This research paper proposes to automate plate recognition process, by combining four algorithms from three methods mentioned above: Ada...

Aiming at the problem that traditional license plate recognition method lacking of accuracy and speed, an end-to-end deep learning model for location in natural scenarios was proposed. First, we added improved channel attention mechanism to down-sampling process You only look once(YOLOv5). Additionally, a information is ones minimize loss from sampling, which can improve feature extraction abil...

Automatic license plate recognition (ALPR) is one of the most important aspects of applying computer techniques towards intelligent transportation systems. In order to recognize a license plate efficiently, however, the location of the license plate, in most cases, must be detected in the first place. Due to this reason, detecting the accurate location of a license plate from a vehicle image is...

Technological intelligence is a highly sought after commodity even in traffic-based systems. These intelligent systems do not only help in traffic monitoring but also in commuter safety, law enforcement and commercial applications. In this paper, a license plate localization and recognition system for vehicles in Malaysia is proposed. This system is developed based on digital images and can be ...