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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...
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...
Against vertical Sobel operator that most license plate detection (LPD) algorithms adopt, this paper presents a robust and real-time preprocessing method to enhance both edge density and intensity of license plates under various outdoor and indoor environments. The proposed method applies HL subband feature of 2D discrete wavelet transform (DWT) twice to significantly highlight the vertical edges...
Vehicle type automatic recognition is of great important today in intelligent transportation system. And neural network is often applied to recognize the vehicle type. However, the network can be very complex and therefore difficult to be trained. In order to cope with such issues, a new developed vehicle type recognition method based on contour feature is presented in this study. It is applied to...
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