Statistical Pattern Recognition

    Statistical pattern recognition [21, 13, 22] draws from established concepts in statistical decision theory to discriminate between data from different groups based upon quantitative features of the data. Examples of statistical feature extraction techniques include mean and standard deviation computations, Fourier transformations [7], wavelet transformations, and Hough transformations [25, 26].