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In a vehicle license plate identification system, locating the license plate in the image or video of a vehicle is an important step before final recognition. In the proposed method care has been taken up to extract license plate of motorcycle (size of plate is small and double row plate), car (single as well as double row type), transport vehicle such as bus, truck, dirty plates as well as multiple...
In this paper, we propose an efficient algorithm of container code characters location in complex situations based on Digital Image Processing. The proposed algorithm consists of three major parts: Image Pre-Processing, Container code characters detection and analysis, Extraction the container code region. The performance of the proposed algorithm has been tested on a large number of experimental...
A few of classic thinning algorithms are presented. Combing with the advantages of the medial axis approach and the peeling approach, propose a new thinning algorithm, and it has been used to the car plate recognition system. The experiment shows that the new algorithm provides high implement efficiency, good thinning effect, greatly improving the whole performance of car plate recognition system.
Automatic number plate recognition (ANPR) is a real time embedded system which automatically recognizes the license number of vehicles. In this paper, the task of recognizing number plate for Indian conditions is considered, where number plate standards are rarely followed. The system consists of integration of algorithms like: 'feature-based number plate localization' for locating the number plate,...
A method of number-plate characters recognition using AdaBoost algorithm, which based on template matching is presented in order to improve recognition rate and reduce recognition time. The method is divided into two stages. In the first stage, classifier is trained by template matching which is improved through AdaBoost classification, at the same time, classification rules are found. Number-plate...
Based on the sharing features of a variety of license plates (LP), the vertical edge was first detected by Sobel edge detector. Then, some approaches were adopted to remove the invalid edge regarding the characteristics of edge grayscale jump and edge density, so that the regions having features of LP were preserved. Next, by horizontal and vertical projections and mathematical morphology (MM) operation,...
In the paper, phase correlation algorithm based on FFT is applied to the vehicle license plate character identification of the intelligent transportation systems. It is a widely used method of image registration, which can not only increase the speed of the license plate character recognition and the generalization ability of system, but also accurately identify some similar characters or obscured...
Based on the sharing features of a variety of license plates (LP), the vertical edge was first detected by sobel color edge detector. Then, some approaches were adopted to adaptively remove the invalid edge regarding the characteristics of edge grayscale jump and edge density, so that the regions having features of LP were preserved. Next, by edge density template matching and the mean and variance...
A robust algorithm for license plate location is proposed, on the basis of connected edge analysis in conjunction with a novel adaptive preprocessing technique. Firstly, with non-conglutination feature of connected edge produced by license plate characters in binarized vertical edge image, filtering and row-scanning location are conducted. Adaptive preprocessing function is then introduced. An input...
In this paper, phase correlation algorithm based on FFT is applied to the vehicle license plate character identification. It is a widely used method of image registration, which can not only increase the speed of the license plate character recognition and the generalization ability of system, but also accurately identify some similar characters or obscured characters. The paper provides the analysis...
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