Abstract: The infrared spectrograms of liquor samples were gathered by FT- IR and principal component analysis was used for datas dimension- reduced processing. The principal components which cumulative variance contribution rate exceed 99% were extracted as the modeling parameters,combined with the discriminant analysis,the liquor authenticity identification model was established based on all wavelengths,fingerprint region and first derivative spectrum of liquors infrared spectroscopy,respectively.The results showed that the discriminant rate of identification model which was established by the all wavelengths data was the highest,the initial discrimination rate was 95.6% and the cross validation test of discriminant rate was 91.4%. The correct discrimination rate of this identification model for the 38 samples in validation set was 86.7%. This study could provide theoretical reference for liquor identification.