The invention provides a stereo-hyperspectral human face recognition method based on auroral imaging, for solving the technical problems of poor recognition result stability and low recognition efficiency of conventional multi-spectral human face recognition methods. The stereo-hyperspectral human face recognition method comprises the following steps of: 1, using an auroral spectrum
system to collect human face Information; 2, carrying out
stereo reconstruction of a human face according to a two-dimensional auroral image in the human face information; 3, diving the two-dimensional human face into regional blocks, and dividing the three-dimensional human face and human face spectrum information into regional blocks according to the division result; 4, extracting comprehensive feature vectors of the regional blocks; 5, for many human faces and the to-be-recognized human face, adopting the step 1 to the step 4 to obtain sample
library data and to-be-recognized human face data; 6, training the sample
library data to get a classifier; 7, inputting the to-be-recognized human face data to the classifier, and identifying the human face. The stereo-hyperspectral human face recognition method of the invention has the characteristics of good stability and high identification efficiency, and can be used to authenticate an identity for
financial transaction, security defense, customs clearance and the like.