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Pattern Recognition With A Spiral Sampling Technique

This paper examines the pattern recognition potential of spiral sampling applied on gray - scale, noisy images. Image pixels are rearranged into a one dimensional sequence by selecting samples in a spiral manner starting from the edge of the image and proceeding toward the center. The properties of this sample sequence are examined by Fourier transform analysis, using images from a number of groups, with varying contrast, orientation and size. The classification ability of features extracted from spiral sequences and their accuracy are investigated.