采用Gabor_Palm函数提取掌纹图像的能量特征，并将得到的结果分块，分别计算每块的均值和方差作为特征向量。特征向量的长度为160.-Gabor_Palm function using the energy extracted palmprint image features, and will be the result of sub-blocks, each block were calculated the mean and variance as a feature vector

基于主成分分析的图像压缩，通过传入图像矩阵、主成分配置、子块大小来进行PCA处理，可得到压缩重构的图像矩阵、压缩比、贡献率信息-Image compression based on principal component analysis, by passing the image matrix, the main component configuration, the sub-block size to PCA processing, compression can be obtained