Living body detection method, device and system
A living body detection and living body technology, applied in the field of face recognition applications, can solve problems such as poor user experience and reduce face recognition efficiency, and achieve the effect of ensuring accuracy and reliability
Pending Publication Date: 2022-07-01
LENOVO (BEIJING) LTD
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the current liveness detection method that requires the cooperation of the object to be recognized reduces the efficiency of face recognition and the user experience is poor
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0058]Aiming at the technical problems described in the background art, a method of living body detection is proposed that does not require the cooperation of the object to be identified, such as using an infrared camera to detect the temperature of the object to be identified, or using an infrared camera to reflect light from the pupil of the object to be identified under the illumination of an infrared light source Detection is performed to determine whether the object to be identified is a living body. However, this method of living body detection requires high cost of hardware equipment, which increases the cost and complexity of the living body detection equipment.
[0059] In addition, it is proposed to control the monochromatic laser light source to illuminate the skin surface of the object to be identified, and based on the refraction, scattering and transmission effects of human skin tissue on the light, the emitted light and diffuse reflection light of the skin surfac...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a living body detection method, device and system, and the method comprises the steps: obtaining an environment vector in a detection environment, carrying out the face recognition of a to-be-recognized object entering the detection environment, obtaining a face image of the to-be-recognized object, carrying out the feature extraction of the face image, and carrying out the recognition of the to-be-recognized object. According to the method, the human face posture model of the to-be-recognized object and the human face illumination information of the human face image are obtained, so that whether the to-be-recognized object is a living body or not is determined based on the environment light vector, the human face posture model and the human face illumination information, and a living body detection result is not influenced by factors such as the posture of the to-be-recognized object and the detection environment; the accuracy and the reliability of a living body detection result are ensured; moreover, the method does not need to be matched with a to-be-recognized object, does not make contact with the skin of the user, does not increase the use complexity of the user, and meets the safe and precise detection requirements of more living body detection application scenes.
Description
technical field [0001] The present application mainly relates to the application field of face recognition, and more particularly, to a method, device and system for living body detection. Background technique [0002] As one of the hot research directions in the field of computer vision in recent years, face recognition technology has been widely used in various application scenarios such as pedestrian identification and tracking, identity authentication for various security services, etc. to meet the corresponding application needs. [0003] In the practical application of face recognition, it is usually necessary for the object to be recognized to perform actions such as turning its head, nodding, opening its mouth, blinking, etc. According to this, it is determined that the object to be recognized is a living object, and then the collected image to be recognized is subjected to face recognition. Through this live detection method, illegal attacks such as photos, masks, a...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/40G06V40/16G06K9/62G06V10/74G06V10/84G06V10/774G06V10/82G06N3/04
CPCG06N3/045G06F18/2411G06F18/22G06F18/214
Inventor 刘文瑞张翱翔
Owner LENOVO (BEIJING) LTD