Date of Publication :30th March 2018
Abstract: Vehicle classification has emerged as a significant field of study because of its importance in the variety of applications like surveillance, security system, traffic congestion, avoidance, accident prevention etc. So far numerous algorithms have been implemented for classifying vehicles; the aim of this paper is to give the opportunity to the researcher to become closely familiar with the methods used for classification of vehicles. Methods based on Image Processing, Neural Networks, and Data Mining are reviewed, discussed and compared. This survey emphasizes that Canny Edge Detection technique gives the better solution than other edge detective techniques in terms of vehicle identification. The Fuzzy c-means clustering and K nearest neighbor algorithms prove better for extracting the features of a vehicle like an area, length-width ratio etc
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