A method of starch category analysis was developed using Short-wave Near-infrared(NIR) spectroscopy.All 112 samples were obtained from different manufacturers of sweet potato starch,potato starch and corn starch.The Short-wave NIR models were established using mahalanobis distance discriminant,C-Support vector machine(C-SVM) and ν-Support vector machine(ν-SVM).The various different pretreated methods(multiplicative scatter correction(MSC),smooth,first-derivation and second-derivation of spectra data were applied.The results indicated that ν-SVM got the best results after MSC,smooth and first-derivation pretreatments.The correct ratio of the training set and the testing set is 100% and 100%.The results showed the method for simultaneous,non-destructive analysis in determination of starch category is reliable.