2D object recognition based on curvature functions obtained from local histograms of the contour chain code1
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.
2d object recognition curvature function clustering algorithm chain code local histograms hierarchical classification architecture