Recent research initiatives have addressed the need for improved performance of license plate recognition accuracy that would profit many applications, ITS in particular. Different image processing techniques have been implemented for this purpose specifically edge detection, binarization, segmentation algorithm and tesseract. Each of these steps has its own strengths and weaknesses and it has ...

The image of the license plate is located and segmented by some digital-image processing technologies such as gray-scale processing, gray-scale stretching and filtering, edge detection, morphological processing, Hough transformation etc. According to the characteristics of the license plate, binary matrix of character image sets the fuzzy matrix, and based on the principle of proximity computin...

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 ...

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...

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...

A vehicle license plate recognition system extracts plate information from a digital image through image processing technology. License plate extraction (LPE) is the premise and key concept of license plate recognition systems. In China, two-row license plates are yellow and dirty. Thus, a novel license plate extraction method based on CIELab color space is proposed in this paper. The method in...

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...