Invariant pattern recognition using the RFM descriptor
Pattern Recognition
The generalization of the R-transform for invariant pattern representation
Pattern Recognition
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A new shape descriptor invariant to geometric transformation based on the Radon, Fourier, and Mellin transforms is proposed. The Radon transform converts the geometric transformation applied on a shape image into transformation in the columns and rows of the Radon image. Invariances to translation, rotation, and scaling are obtained by applying 1D Fourier-Mellin and Fourier transforms on the columns and rows of the shape’s Radon image respectively. Experimental results on different datasets show the usefulness of the proposed shape descriptor.