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Vehicular shape-based objects classification using Fourier descriptor technique

This paper reports classification of vehicular shape-based objects using Fourier descriptor (FD) technique. Retrieval and classification of different types of shapes was done for closest match, comparing set of feature vectors of query object to each object of every class. Centroid distance based shape signatures were used for derivation of feature vectors. Euclidean distance was calculated as a similarity measure parameter for shape classification. Classification of noisy objects was carried out using FD technique. FD performs better than wavelet descriptor (WD) technique.