Identification of aging grain seeds has attracted significant attention in agricultural production and food safety. Therefore, this study combines infrared spectroscopy and multivariate statistical analysis to investigate artificially aging wheat seeds. The experimental results show that the original spectra of wheat seeds with different aging degrees are similar. In the second derivative infrared spectrum, the peak intensity and shape of the wheat seeds showed differences in the range of 1800--800 cm ^-1. In the range of 1800--800 cm ^-1, the number and intensity of automatic peaks of the two-dimensional correlation infrared spectrum of wheat seeds will change significantly with the increase of aging time. The study results show that infrared spectroscopy with principal component analysis and hierarchical cluster analysis can quickly and conveniently distinguish artificially aging wheat seeds. It is expected to develop into a new method for identifying aging seeds.