نتایج جستجو برای: license plate recognitions systems
تعداد نتایج: 1299757 فیلتر نتایج به سال:
In this paper, a new low cost Arabic vehicle license plate recognition (LPR) method is proposed which is easily extendable to other plates. A novel LP segmentation technique with three sets of feature vectors was used with template matching to form the two main modules: license plate localization module and LPR module. This method was tested on more than 238 vehicle images taken from various sc...
The vehicle license plate recognition system has greater efficiency for vehicle monitoring in automatic zone access control. This Plate recognition system will avoid special tags, since all vehicles possess a unique registration number plate. A number of techniques have been used for car plate characters recognition. This system uses neural network character recognition and pattern matching of ...
Vehicle License Plate Recognition is a vital component in Intelligent Transportation Systems. In this paper, VLPR system is proposed. Considering that License Plate Recognition is the most important and difficult part in VLPR systems, we present an effective license plate recognition method based on K Mean and Neural Networks. This Paper focuses mainly on two parts first is recognition and seco...
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 ...
__________________________________________________________________________ Existing vehicle license plate identification and recognition systems are potent for either their accuracy or speed but not a combination of both. The algorithm proposed in this dissertation attempts to achieve this fine balance between the accuracy and speed that such a system must posses. The mathematical morphology op...
The License Plate Recognition (LPR) as one crucial part of intelligent traffic systems has been broadly investigated since the boosting of computer vision techniques. The motivation of this paper is to probe in plate number recognition which is an important part of traffic surveillance events. In this paper, locating the number plate is based on edge detection and recognizing the plate numbers ...
Automatic license plate recognition plays an essential role in many applications and a number of methods have been proposed. These applications range from complex security systems to common areas and from parking admission to urban traffic control. License plate recognition has hard properties due to varied effects as fog, rain, shadows, irregular illumination conditions, variable distances, ca...
The motor vehicle is an important way of transportation for modern people, and its license plate is just like our identi ̄cation cards which can be used for e®ective management of motor vehicles. Hence, the development of a recognition system for license plates can reduce the workload of managing motor vehicles. A license plate recognition system based on computer vision often causes recognition...
The problem of automatic number plate recognition (ANPR) has been studied from different aspects since the early 90s. Efficient approaches have been recently developed, particularly based on the features of the license plate representation used in different countries. This paper focuses on a novel approach to solving the ANPR problem for Argentinean license plates, called Intelligent Template M...
License plate localization is considered as the most important part of license plate recognition system. The high accuracy rate of license plate recognition is depended on the ability of license plate detection. This paper presents a novel method for license plate localization bases on license plate features. This proposed method consists of two main processes. First, candidate regions extracti...
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