License plate (LP) detection in the wild remains challenging due to diversity of environmental conditions. Nevertheless, prior solutions have focused on controlled environments, such as when LP images frequently emerge from an approximately frontal viewpoint and without scene text which might be mistaken for LP. However, even state-of-the-art object detectors, their performance is not satisfact...

License Plate detection and recognition is a key technique in most of the traffic related applications such as searching of stolen vehicles, road traffic monitoring, airport gate monitoring, speed monitoring and Automatic parking access control. It is simply the ability to automatically extract and recognition of the vehicle license number plate’s character from a captured image. The License pl...

A flexible software based platform for number plate recognitions applications is described. It breaks the processing into several explicit modules, with the implementation for each module provided by a software plugin using a DLL interface. The modular structure greatly facilitates the comparison between different algorithms for a particular step, and allows code to be reused between applications.

License plate detection from images is an important step in vehicle license plate recognition for automated transport system. Dark images and complex background make license plate detection problems challenging. In this paper, a novel method of based on rectangle window was proposed to resolve license plate detection problems. The proposed method firstly enhances images using traditional method...

Support Vector Machine (SVM) as an important theory of machine learning and patternrecognition has been well applied to small sample clustering learning, nonlinear problems, outlierdetection and so on. The license plate automation recognition system has received extensiveattention as an important application of machine learning and pattern recognition in intelligent transport.The license plate ...

A license plate recognition (LPR) system is one kind of intelligent transport systems and is of considerable interest because of its potential applications to areas such as highway electronic toll collection, traffic monitoring system and so on. This paper proposes an automatic license plate recognition system for Saudi Arabian license plates. The system captures the images of the vehicles with...

This paper proposes a robust system to recognize vehicle license plate by multi-frames learning. To fast locate the position of a license plate, we adopt a morphology-based method to extract important contrast features as filters to find all possible license plate candidates after calculating motion energy from video frames. The contrast feature is robust to lighting changes and invariant to di...

Automatic license plate detection and recognition has numerous applications. A large number of schemes have already been proposed in order to make the detection and recognition process efficient. However, a very little work has been done on Bengali license plate recognition. Wide variation among the license plate patterns, complex background, and the difficulty in segmenting Bengali characters ...

Automated car license plate recognition systems are developed and applied for purpose of facilitating the surveillance, law enforcement, access control and intelligent transportation monitoring with least human intervention. In this paper, an algorithm based on SIFT feature points clustering and matching is proposed to address the issue of recognizing Malaysian special plates. These special pla...