Living body detection method based on facial recognition, and electronic device and storage medium

An electronic device, comprising:

• an image acquisition component for obtaining a to-be-detected infrared image and a to-be-detected visible light image respectively;
• a processor;
• and
• a memory configured to store computer executable instructions that, when executed, use the processor to perform the following operations:
• performing edge detection and texture feature extraction on the to-be-detected infrared image;
• performing feature extraction on the to-be-detected visible light image through a convolutional neural network;
• and
• determining whether the to-be-detected infrared image and the to-be-detected visible light image pass living body detection based on a result of the edge detection on the to-be-detected infrared image, a result of the texture feature extraction on the to-be-detected infrared image, and a result of the feature extraction on the to-be-detected visible light image through the convolutional neural network.

A system for living body detection based on face recognition, comprising:

• an image acquisition component for acquiring infrared images and visible light images;
• an electronic device, comprising:
• a processor;
• and a memory configured to store computer executable instructions that, when executed, cause the processor to perform the following operations:
• obtaining infrared images and visible light images acquired by the image acquisition component, and selecting a to-be-detected infrared image and a to-be-detected visible light image;
• performing edge detection and texture feature extraction on the to-be-detected infrared image;
• performing feature extraction on the to-be-detected visible light image through a convolutional neural network;
• and
• determining whether the to-be-detected infrared image and the to-be-detected visible light image pass living body detection based on a result of the edge detection on the to-be-detected infrared image, a result of the texture feature extraction on the to-be-detected infrared image, and a result of the feature extraction on the to-be-detected visible light image through the convolutional neural network.