Living body recognition method, storage medium, and computer device
摘要
說明書
As shown in
The model training module 807 is configured to obtain an image sample set, where the image sample set includes a live facial image and a non-live facial image; obtain a facial image in a corresponding image sample along a facial region of each image sample in the image sample set to obtain a first training sample; and train the first recognition model according to the first training sample.
In an embodiment, the model training module 807 is further configured to obtain an initialized first recognition model; determine a first training label corresponding to the first training sample; input the first training sample into the first recognition model to obtain a first recognition result; and adjust model parameters of the first recognition model according to a difference between the first recognition result and the first training label, and continue training until satisfaction of a training stop condition.
In an embodiment, the second extraction module 804 is further configured to determine a facial region in the target image; extend the facial region to obtain an extended facial region; obtain an extended facial image in the target image along the extended facial region; and input the extended facial image into a second recognition model, and extract background feature data of the extended facial image through the second recognition model.
