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...

In this paper, we propose a method to achieve improved number plate detection for mobile devices by applying a multiple convolutional neural network (CNN) approach. First, we processed supervised CNNverified car detection and then we applied the detected car regions to the next supervised CNN-verifier for number plate detection. In the final step, the detected number plate regions were verified...

Problem statement: License plate detection and recognition is an image-processing technique used to identify a vehicle by its license plate. This notable technology has got multiple applications in various traffic and security cases. To name but a few, toll roads, border control, security and car tracking are same of its applications. The main stage is the isolation of the license plate, from t...

This paper presents a neural network based artificial vision system able to analyze the image of a car given by a camera, locate the registration plate and recognize the registration number of the car. The paper describes in detail various practical problems encountered in implementing this particular application and the solutions used to solve them. The main features of the system presented ar...

The paper represents the automatic plate localization component of a multi-national Car License Plate Recognition (CLPR) system. The approach includes stages of preprocessing, edge detection, filtering, detection of plate’s position, slope evaluation, character segmentation and recognition. Single frame gray-level images are used as the only source of information. In the experiments Israeli and...

Vehicle license plate recognition is an image-processing technology used to identify vehicles by their license plates. This technology can be used in various security and traffic applications, such as finding stolen cars, controlling access to car parks and gathering traffic flow statistics. In this paper an approach to license plate localization and recognition is presented. A proposed method ...

Various applications of car plate recognition systems have been developed using various kinds of methods and techniques by researchers all over the world. The applications developed were only suitable for specific country due to its standard specification endorsed by the transport department of particular countries. The Road Transport Department of Malaysia also has endorsed a specification for...

The paper deals with an image-based recognition system, which captures, interprets, records, and processes the image of a license plate for use in a variety of ITS applications. Such a system can save money by collecting and processing vehicle data without human intervention. Motorists are then allowed to pass toll plazas or weigh stations without stopping, which can save their time and prevent...

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 ...

To solve the problem of multi-license plate location in road bayonet image, a novel approach was presented, which utilized plate’s color features, geometry characteristics and gray feature. Firstly, the RGB color image was converted to HSV color model and calculates the distance according to the plate’s color information in the color space. Secondly, the license plate candidate regions were seg...