Automated Vehicle Tracking System (VTS) using Image Processing Techniques

نویسنده

  • Kamaljit Kaur
چکیده

In India, the vehicles sometimes bare extra textual region like signs, symbols, name of the owner, wellliked sayings and ad boards to the license plate. Situation demands for accurate recognition of text class and fine aspect ratio analysis. Along with this extra care taken up in this manuscript to extract license plate of vehicles i.e, twowheeler such as motorcycle or scooter (size of plate is small and double row plate), car (single as well as double row kind), transport system such as truck, bus, as well as multiple license plates there in a digital image frame under consideration. However, it is observed that the vehicle is not only identified by its number plate but the model of the vehicle also possesses many information so that it could be identified from the distance or remote location as the number plate can only be extracted once the camera is focussed on it. But prima facie, the vehicle is identified by it appearance i.e. its shape, model, color or style of the body. Therefore, in order to identify a vehicle on road, prima facie, its data in terms of its body or appearance is an important source of information that must be retrieved or extracted form it s image. Keywords— Vehicle Tracking System (VTS), Histogram of Gradients (HoG), Dimensional Features

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تاریخ انتشار 2015