New forms of shape invariants from elliptic Fourier descriptors
Pattern Recognition
A Hough transform technique for the detection of parallel projected rotational symmetry
Pattern Recognition Letters
Application of Elliptic Fourier Descriptors to Symmetry Detection Under Parallel Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic algorithm for affine point pattern matching
Pattern Recognition Letters
Fourier Preprocessing for Hand Print Character Recognition
IEEE Transactions on Computers
Fourier Descriptors for Plane Closed Curves
IEEE Transactions on Computers
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In this paper, a Genetic Fourier Descriptors is proposed to detect rotational symmetry. Rotational symmetry is one of the important features for image decoding and object recognition in computer vision systems. In the Genetic Fourier algorithm, the Fourier descriptors are chromosomes and fitting function of the GA. The Genetic Fourier method has the following advantages. (1) It can handle partially occurred contour and opened contour, (2) It can handle complex point pattern, (3) It can obtain multiple perceptions and (4) It is highly parallel and its efficient can be greatly improved if parallel processors are used. Experimental results show that it can handle complex symmetry figures, these symmetry figures may be formed by separated curves, points or partially occurred or partially missed (open contour).