The invention discloses a human face
living body detection method and device and a computer readable storage medium. The method comprises the following steps of S1,
processing a to-be-detected pictureto serve as input of a
convolutional neural network model; and S2, convoluting on the to-be-detected picture to obtain
convolution output; S3, inputting the
convolution output into the classificationmodel for analysis to obtain a
feature vector of the to-be-detected picture; S4, determining a picture sample matched with the to-be-detected picture from each pre-acquired picture sample; S5, takingthe
label of the picture sample matched with the to-be-detected picture determined in the step S4 as the
label of the to-be-detected picture to obtain a detection result of the to-be-detected picture. The single-frame picture is used as
living body detection input, so that the method is simple and easy to use, and industrial application and upgrading and reconstruction of old projects are facilitated; and the feature component extraction and
deep learning technology is utilized to improve the accuracy and speed of
living body detection.