Spectral Characterization and Identification of Natural and Regenerated Leather Based on Hyperspectral Imaging System

Currently, the methods to identify leather materials have limitations, and identifying natural types is also relatively complex. In this research, microstructures of four mammalian leathers (cattle leather, pig sheep deer leather), three kinds reptilian (crocodile lizard snake leather) regenerated were characterized by scanning electron microscopy. The spectral curves (from 900 1700 nm) these samples extracted using a hyperspectral imaging system, their characteristics analyzed. A method identification system combined with chemometrics was established. results showed that differed in number, position, depth characteristic peaks, enabling classification comparative analysis naked eye. first-order derivative processing–principal component analysis–discriminant model achieved 98% correct rate, confirming system’s feasibility material field. We believe his research beneficial for industry understand classifications scientifically, order protect consumer rights further develop testing industry.