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Action recognition based living body face recognition method and system

A technology of action recognition and face recognition, applied in the field of face recognition, can solve problems such as unfriendly human-computer interaction, slow down of face recognition speed, and user boredom, so as to ensure recognition rate and anti-spoofing ability, and improve The effect of high detection success rate and verification accuracy

Inactive Publication Date: 2017-05-10
南京合荣欣业金融软件有限公司
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AI Technical Summary

Problems solved by technology

[0003] At present, there is no recognized and mature living body verification scheme in the technical products on the market. The existing technologies either rely on special hardware devices (such as infrared cameras, depth cameras), or can only prevent simple static photo attacks; in addition, in some public In the technology, by detecting the dynamic parts of the face, if there is a difference, it will be regarded as a live face, but this method is relatively passive, assuming that the person does not move, the detection may fail; Liveness detection, this kind of detection requires a lot of facial expressions and actions to be identified, the human-computer interaction method is not friendly, it is easy to make users feel bored, and the algorithm is complicated, which reduces the speed of face recognition

Method used

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  • Action recognition based living body face recognition method and system

Examples

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Embodiment 1

[0020] Example 1: Such as figure 1 The shown living face recognition method based on action recognition includes the following steps:

[0021] S11. Static face image collection: the camera is used to capture the user's static face image in real time;

[0022] S12. Output the action command "blink your eyes";

[0023] S13. Collect the video information of the user's response to the action command "blink the eyes", and perform face motion detection during the process of collecting the video information. If no facial motion is detected, the collection fails, and step S12 is executed again;

[0024] S14. Extract an image matching the user action with the action command "blink the eye" in the video information as a dynamic face image. If no image matching the user action with the action command "blink" is extracted, the extraction fails, and step S12 is executed again;

[0025] S15. Compare the static face image with the dynamic face image, and when the comparison matching degree is greater...

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Abstract

The invention discloses an action recognition based living body face recognition method and system. The method includes steps of collecting a static face image of a user; outputting an action command generated randomly; collecting video information of the user responding to the action command; extracting an image in which the action of the user is matched with the action command in the video information as a dynamic face image; comparing the static face image with the dynamic face image, determining living body face recognition success when the matching degree is greater than a recognition threshold value or else determining living body face recognition failure.

Description

Technical field [0001] The invention relates to the technical field of face recognition, in particular to a live face recognition and system based on action recognition. Background technique [0002] With the development of computer technology, the use of face recognition has become more and more widespread. At present, face recognition systems are increasingly used in security and financial fields that require identity verification, such as bank account opening, access control systems, and remote transaction operations. Verification etc. In these high-security application areas, in addition to ensuring that the face similarity of the person being verified conforms to the base database stored in the database, it is also necessary to perform live detection of the person being verified. When the existing face recognition system performs recognition, it sometimes appears that users use photos or pre-shot videos to deceive the system to complete the verification. In addition, it is ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/45
Inventor 薛炳如卜习栓王金凤
Owner 南京合荣欣业金融软件有限公司
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