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Recently many works focus on the vehicle type recognition because it is important in security and authentication systems. Computational complexity and low recognition rate especially when the system has to recognize among a large number of vehicles, are two major problems in vehicle type recognition. In recent years wavelet and contourlet transform have been applied in the recognition tasks successfully...
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...
Image registration is the precondition of image enhance and image reconstruction which uses sequence low-resolution images. This paper presents a new intensity-based image registration, which combine feature based and statistical based methods. The proposed method consists of three steps. First, the center of gravity (CG) method is used to estimate the relative displacement. Then, the correlation...
This paper presents the main modules of the system to efficiently recognize type of the vehicles. The entry results are in line with our expectations. The proposed system achieves good performances on a test set containing over 3500 vehicle images and the detection rate is about 93% when it was compared with the measurements done by a human expert. Moreover, it is not sensitive to variation in time,...
Local Binary Pattern (LBP) is a powerful texture descriptor for its tolerance against illumination changes and its computational simplicity. The basic LBP encodes 256 feature patterns in a 3×3 neighborhood, but not all the patterns are effective for classification. In this paper, we propose a simplified LBP(S-LBP) which produces optimal patterns by using the best coding principle for classification...
Color recognition of license plates is an important step to License Plate Recognition (LPR) system. In order to perform color recognition more effectively, an algorithm based on Naive Bayesian approach is proposed in this paper. To improve the efficiency of color recognition, the multiclass problem is converted into two binary problems based on the reverse color information of plate images. Color...
In a vehicle license location system, the core problem is to identify the characters in the license plate, and the key is to locate the area where the characters are in. Therefore an improved seeds algorithm based on grey theory is proposed in this paper. The experimental results show that this algorithm can locate the license plate accurately and in real-time under complicated background and non-even...
On the basis of the vehicle license plate location, an image grey vertical projection segmentation approach based on the distribution character segmentation is proposed in this paper. A two-stage approach consisting of coarse and accurate segmentation is adopted. It can increase the accuracy of the segmentation and has good segmentation speed. And in recognition process, character features are extracted...
Locating the vehicle license plate plays an important role in the vehicle license plate automatic recognition system, At present license plate gray feature and texture feature were considered in the most license plate location methods, however, these methods have weak adaptability in different environment. To solve these problems, license plate location based on singular value feature is proposed...
The License plate location is an important stage in Intelligent Transportation System (ITS). It is considered to be the most crucial step of an Automatic License Plate Recognition (ALPR) system. A new image segmentation method based on integrated features and Marker-Controlled Watershed algorithm was proposed to locate and split the plate region of vehicle images from complicated environment. Firstly,...
Vehicle type (make and model) recognition provides high level of security to the systems that are solely based on automatic license plate detection and recognition. Most of the work in this direction has been done in controlled conditions. In this paper we evaluate in an extensive experimental setting, the strength and weakness of various global and local feature based methods on vehicle images captured...
For the limitation of current license plate location algorithms, present an algorithm of the license plate location based on image energy and its practical formulas. Introduce the algorithm of extraction and methods to verify region of license plate. It takes full advantage of characteristics of the license plate, such as complicated textures, sharp-cut contrast and so on. It also has the advantages...
License plate locating has been the bottleneck of Automatic Vehicle Recognition System. In order to improve the speed and accuracy of license plate locating, this paper proposes a simple and practical method of license plate locating. This method uses the adaboost algorithm to locate license plate. We can first enhance the texture features in the vertical direction of the plate through image preprocessing...
A new recognition method of vehicle license plates based on neural network is presented in this paper. For the Back Propagation (BP) neural network often trap into the local minimum in the training process, a Genetic Neural Network (GNN), GABP was constructed by combining the Genetic Algorithm(GA)with BP neural network. The training of the GABP neural network was finished in two steps. The GA was...
Extracting the VLP number from a VLP image is considered to be one of the most important stages of vehicle license plate recognition (VLPR) system, it greatly influence the overall recognition accuracy and processing speed of the whole system. This paper presents an algorithm to extract the VLP number from the VLPs. The distorted VLPs are also studied to develop a transformation to calibrating the...
In this study, a simple and effective method is proposed for segmenting alphanumeric and numeric characters on vehicle license plates and recognizing the segmented characters. The proposed approach is basically based on template matching technique. Features used for matching are obtained by scanning the segmented characters from left-to-right, right-to-left, top-to-bottom, and bottom-to-top. The features...
In this paper, we present an accurate and robust license plate localization approach based on the Support Vector Machine (SVM) classifier. We impose the license plate localization as a classifier based binary recognition problem. The images of our database exhibit various illumination conditions (daytime, dark night). For the problem of illumination effects, we use the algorithm of Scale Invariant...
The vehicle license plate detection is challenging first step in license plate recognition system. The license plate region is in the characteristics of gradient and frequent changes. This paper proposes High-pass filter to extract the gradient and frequent changes regions. Then merge adjacent regions as license plate candidates. Combined with the geometric features of license plates and the ratio...
Character segmentation and recognition is the research hotspot of vehicle license plate recognition technology. A new method is presented in this paper. Based on the vehicle license location, the segment method of vertical projection information with prior knowledge is used to slit characters, and extract the statistical features. Then the RBF neural network is used to recognize characters with the...
This paper presents a robust vehicle license plate detection algorithm based on multi-features, including mathematical morphology, rectangle features, edge statistics and characters features. Here we utilize the word ??robust?? to describe the proposed algorithm because it is not only adaptive to variance occasions, such as variance of the illumination, vehicle position, the color, both background...
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