Mid-infrared spectroscopy combined with a two-dimensional correlation infrared method will be used to identify Corni fructose from different regions quickly. Mid-infrared technology scanned 30 batches of Corni fructose medicinal materials from seven production areas in three provinces. The original spectra were preprocessed with baseline correction and smoothing, and then the differences in average infrared and second-order derivative spectra were analyzed. At the same time, the infrared spectra of Corni fructose were compared and analyzed with the infrared spectra of three standard substances, namely login, mononucleosis, and ursolic acid, to establish a two-dimensional infrared correlation spectrum. Use analysis software to perform principal component and cluster analysis on infrared spectral data and analyze the causes of differences based on climate factors in different regions. The peak positions and shapes of the average spectra from the seven production areas have high similarity, while the differences in the second derivative spectra and two-dimensional infrared correlation spectrum results showed in three bands: 2 370～2 400, 2 200～2 300, and 1 500～1 650 cm-1. The results of the principal component analysis show that the spatial distribution of Corni fructose from different regions is independent of each other. The clustering analysis results show that the seven production areas can be divided into three characteristic groups, with Shaanxi Danfeng, Shaanxi Foping, Shaanxi Shangluo, and Shaanxi Zhouzhi clustered into one group, Zhejiang Linan clustered into one group, and Henan Xixia and Henan Luanchuan clustered into one group. The combination of mid-infrared spectroscopy with chemical stoichiometry and two-dimensional correlated infrared spectroscopy can rapidly identify Corni fructoses origin from different origins.