Abstract
Fourier descriptor is an important method used in shape analysis and recognition. A novel method for designing the classifier of multi-dimensional data was proposed, which used radar chart of multi-statistics to show multidimensional data and applied Fourier descriptors to recognize the radar chart. Different multi-dimensional data formed different radar chart and distinguished different category. Then a new Fourier descriptor based on polar radius is defined, which describes curve of radar chart shape. The method of probabilistic neural network combined with Fourier descriptors is used to implement automatic classification. Experimental results show this method has the good classification precision, and may compare with the traditional classifier.
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