A feature multiplexing-based face recognition method, belongs to the technical field of computation and calculation, and particularly relates to the technical field of computer vision for face recognition. According to the method, an external data set is used to train a human face feature extractor; a reference feature corresponding to each member in a local data set is hierarchically extracted by means of multi-time equal-step convolution and feature graph splicing to form a reference feature space; and feature vectors and reference features of a sample to be tested are compared to determine a reference feature most similar to the feature vectors of the sample to be tested, and when the reference feature most similar to the feature vectors of the sample to be tested meets the threshold requirement, take the identity of the member to which the reference feature most similar to the feature vectors of the sample to be tested belongs as the identity of the sample to be tested; otherwise, return a message that the identity recognition of the sample to be tested fails. Rapid recognition of a human face with less computing resources is realized.
FEATURE MULTIPLEXING-BASED FACE RECOGNITION METHOD