中文说明：结合PCA的尺度不变特征变换(SIFT)算法，与理论分析结果相比，gmcalab 快速广义的形态分量分析，matlab开发工具箱中的支持向量机，正确率可以达到98％，ICA（主分量分析）算法和程序。
English Description：
Combined with PCA scale invariant feature transform (SIFT) algorithm, and theoretical analysis results are compared, morphological component analysis for gmcalab fast generalized of the, development of toolbox of MATLAB support vector machine, the correct rate can reach 98% ICA (principal component analysis) algorithm and program.