It often involves examination and identification about front bumpers in the traffic casualties and escape and criminal cases. This paper was combined the principal component analysis (PCA) and discriminant analysis with Infrared spectra data of 31 front bumpers debris and has established the mathematical model via Classification algorithm. Finally, 31 front bumpers debris were successively distinguished into 17 classes and the result was ideal. In this paper, the modern instrument analysis technology and multivariate statistical method were combined to realize the classification and identification of front bumpers debris, which provided a scientific basis for the inspection of physical evidence.