In this paper, we assume that the objects can be classified according to the pattern in the contour, i.e. features such as dimension, position and orientation are only confounding factors which should not be used in the recognition process. Based on these assumptions, a novel patter Recognition technique was proposed to recognize two dimensional objects with closed contours via the use of Fast Fourier Transform and a constrained k-means clustering technique.
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