The present application relates to an artificial intelligence technology. Disclosed is a facial recognition method, comprising: collecting an original data set and a facial contrast set, pre-processing same and then inputting same into a model training layer; the model training layer performing calculation according to a histogram of oriented gradients method to obtain a gradient feature set; inputting the gradient feature set and the facial contrast set into a lifting algorithm for training, and exiting the training when the training accuracy of the lifting algorithm is greater than a pre-set threshold value; receiving a captured image, and the model training layer determining whether the captured image contains a face; and when the captured image contains a face, searching for a face with the highest similarity to the facial contrast set to complete facial recognition. Further provided are a facial recognition apparatus and a computer-readable storage medium. The present application can realize an accurate facial recognition function.
FACIAL RECOGNITION METHOD AND APPARATUS, AND COMPUTER-READABLE STORAGE MEDIUM