License plate recognition (LPR) by using morphology has the advantage of resistance to brightness changes; high speed processing, and low complexity. However these approaches are sensitive to the distance of the plate from the camera and imaging angle. Various assumptions reported in other works might be unrealistic and cause major problems in practical experiences. In this paper we considered ...

This paper presents a method for Malaysian car number plate detection system. This method utilizes template matching technique to approximate the location of the number plate region. Using the output from this template matching technique, colour information is used to eliminate the unwanted colour areas from the approximate number plate region without affecting the correct colour regions. Hence...

car license plate recognition is addressed in this paper. given the development of intelligent transportation systems, it is absolutely essential to implement a strong license plate recognition system. efforts were made to put forward a novel reliable method for car license plate recognition in iran. each license plate recognition system comprises three main parts. the first part is the license...

Benefiting from the rapid development of convolutional neural networks, performance car license plate detection and recognition has been largely improved. Nonetheless, most existing methods solve problems separately, focus on specific scenarios, which hinders deployment for real-world applications. To overcome these challenges, we present an efficient accurate framework to tasks simultaneously....

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 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 ...

Detecting the accurate location of a license plate from a vehicle image is considered to be the most important stage of vehicle license plate recognition (VLPR) system, which greatly influences the overall recognition accuracy and processing speed of the whole system. In this paper, we propose a system to locate the multiple vehicle license plates of moving vehicles from a video traffic image s...

Based on feature matching of car tail text information, a novel approach for vehicle identification is proposed in this paper. Our method creatively implements Scale-Invariant Feature Transform (SIFT) to extract distinctive invariant features from car tail text sub-images, which is a new application of SIFT. In our approach, firstly, the coordinate and the content of a vehicle’s license plate a...

Automatic car identification is very useful in traffic monitoring and control access applications that make it become relevant in recent years as a result of increased security awareness. Several computer systems were proposed to identify cars via different features such car plate recognition, car front view features, etc. Vision based car Make and Model Recognition (MMR) can overcome some limi...