نتایج جستجو برای: license plate recognitions systems
تعداد نتایج: 1299757 فیلتر نتایج به سال:
Traffic management and security issues have become all pervasive in today’s environment. In order to regulate traffic it is necessary to identify vehicles with their registration plates. Vehicle license plate recognition technology has helped in vehicle identification, theft prevention, speed regulation, and various other traffic management concerns. With the introduction of high security regis...
Assist. Lect. Nada Najeel Kamal * Assist. Prof. Dr. Loay E. George Department of Computer Science Department of Computer Science University of Technology College of Science, University of Baghdad Baghdad, Iraq Baghdad, Iraq Abstract— A License Plate (LP) is a rectangular metal plate contains numbers, characters and words, fixed on the car body and is used to identify the vehicles. In recent y...
Mammography is the best method for early mass detection. In order to limit the search for abnormalities by Computer Aided Diagnosis systems to the region of the breast without undue influence from the background of the mammogram, extraction of the breast contour and pectoral muscle is necessary. Breast contour helps to find the position of the nipple, which its position is important for mass de...
In this paper, License plate localization and recognition (LPLR) is presented. It uses image processing and character recognition technology in order to identify the license number plates of the vehicles automatically. This system is considerable interest because of its good application in traffic monitoring systems, surveillance devices and all kind of intelligent transport system. The objecti...
nowadays, sport is known as a great business in trade activities and has brought huge revenues for athletes; sport teams and other sport personalities whereas large part of this revenue emanates from intellectual property rights particularly different kinds of trademarks. regarding fundamental principles and legal approaches of leading systems, this paper attempts to clarify the eminent role of...
In recent years, many researches on Intelligent Transportation Systems (ITS) have been reported. Automatic License Plate Recognition (ALPR) is one form of ITS technology that not only recognizes and counts vehicles, but distinguishes each as unique by recognizing and recording the license plate’s characters. This paper discusses the main techniques of ALPR. Several open problems are proposed at...
The first processing step in any automatic number plate recognition (ANPR) system is the detection of the plates. The presented approach to plate detection makes use of a robust binarization scheme. The contributions of this paper are twofold: We present our approach to license plate detection, which is based on Niblack’s binarization scheme. To improve the binarization we propose a theoretical...
Received Nov 11, 2017 Revised Jan 15, 2018 Accepted Feb 1, 2018 License Plate Recognition (LPR) is the mission of identifying the vehicle using number plate extraction. An efficient method for recognizing plate based on Undecimated Wavelet Transform (UWT) is proposed. Plates are recognized using features from undecimated coefficients in this system. Morphological edge detection technique is use...
License plate matching plays an important role in applications like law enforcement and road pricing where the plate is first recognized and then compared to a database of authorized vehicle plates. If an entity with a license plate wants to find a match in the license plates database which is in the possession of another entity; matching in the encrypted domain ensures that the privacy of data...
It is believed that there are currently millions of vehicles on the roads worldwide. The over speed of vehicles ,theft of vehicles, disobeying traffic rules in public, an unauthorized person entering the restricted area are keep on increasing. In order restrict against these criminal activities, we need an automatic public security system. Each vehicle has their own Vehicle Identification Numbe...
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