DETECTION OF LICENSE PLATE AND MAKE-MODEL OF VEHICLE USING SURF ALGORITHM

Electronics and communication engineering

This work is a detection of license plate and make-model of vehicle using SURF (Speeded Up Robust Features) algorithm. This SURF feature used to capture the front or rear view of the vehicle to highlights the dominant feature. Here we use two dictionary scheme that are single dictionary and modular dictionary for classification purpose. The SVM (Support Vector Machine) classifier is used to increasing the processing speed and accuracy. Generally VMMR (Vehicle Make Model Recognition) is used to find the theft vehicles and also used in highly vulnerable area such as parking vehicles in airport, malls, railway station, stadium etc. We planning to eliminate the ambiguous problem such as identifying between “o” or “0”. Here we use SURF features along with SIFT (Scale Invariant Feature Transform) algorithm to describe instances of make model of vehicle. In spite of using various algorithm the problem of multiplicity and ambiguity can be resolved by representing and discriminating the global feature. Finally we predict the make model number and detection of license plate.

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