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Vehicle license plate identification system is an image-processing technology used to identify vehicles by their license plates. This technology is used in various security and traffic applications. This data is also used for enforcement, data collection, and can be used to keep a time record on the entry or exit of vehicles for automatic payment calculations. The significant advantage of this system...
This paper describes an approach for lane segmentation in traffic monitoring systems based on probability map extracted form vehicles movement information. In traffic monitoring system, the region that a vehicle passes through might belong to a certain lane. The more vehicles pass through a certain region, the more likely it belongs to a certain lane, and then we can get probability map of the lane...
This paper presents a novel approach of license plate location. The proposed algorithm involves the following three steps. First, the vertical edges of the vehicle image are extracted by Sobel operator. Second, HSV color space and integral image are employed to locate candidates in yellow license plates and non-yellow license plates. Finally, connected component analysis is to locate the region of...
Automatic number plate recognition is a real time embedded system which automatically recognizes the license number of vehicles. Such systems require the localization of number plate area in order to identify the characters present on it. This paper presents a feature based methodology for localization of Indian number plates. Since number plate standards are not strictly practiced in India, a large...
Vehicle type recognition is an active subject in the area of computer pattern recognition, which has been a focus in reach for the last couple of decades because of its wide potential application. And edge detection is an important step for vehicle type recognition, a vehicle type recognition method based on Sobel was proposed. Also discussed are the vehicle vector and the vehicle recognize process...
The automated vehicle recognition is of great importance today in intelligent transportation systems. In the process of the feature extraction of vehicle recognition system, the edge vector must be extracted first. However, there are many regions in an image, and it is difficult to extract the edge vectors of the regions of the image. Therefore a novel edge tracing method based on scan-line of image...
In this paper a vehicle detection algorithm is presented based on the combination of edge feature and random walk techniques. We used background subtraction and edge detection to obtain the moving area, then used morphological operations for vehicle skeleton extraction and get the seed for random walk. Our algorithm has three phases, detection of areas on moving objects, extraction of skeleton points...
After analyzing gradient algorithms, such as sobel operator, robert operator, prewitt operator and canny operator, an improved method of edge detection of vehicle image is proposed in the study, based on image fusion at pixel level. The experimental results show that this method can obtain integrated and consecutive vehicle edgepsilas image and make for the recognition of vehicle type.
License plate detection plays an important role in license plate recognition (LPR) system. If license plate can be detected exactly, the character segmentation and recognition can be implemented more precisely and efficiently. In our observation, the illumination affects the result of detecting the license plate. The aim of this paper is to extract more than one license plate from an image and to...
In the paper, we adopted an object-oriented image analysis method to detect and classify road vehicles from airborne color digital orthoimagery at a ground pixel resolution of 20 cm. Firstly; a vector-generated road mask was used to constrain detection and classification of vehicles to road region. Secondly, image segmentation and edge detection algorithms were performed to separate vehicles from...
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