2D object recognition based on curvature functions obtained from local histograms of the contour chain code

Abstract In this paper a real time 2D object recognition algorithm is proposed. Contours are represented by their curvature functions, decomposed in the Fourier domain as linear combination of a set of representative objects. Finally, objects are identified by multilevel clustering.

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