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A method for detecting human face in vivo based on a mobile phone front camera

A living body detection and camera technology, applied in the field of face recognition, can solve the problems of large size, high cost, and inability to use, and achieve the effects of high safety, high accuracy, and reduced risk

Active Publication Date: 2019-01-25
GUANGZHOU YUNCONG ARTIFICIAL INTELLIGENCE TECH CO LTD
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Problems solved by technology

However, structured light equipment is expensive and bulky, and cannot be used on current mobile devices

Method used

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  • A method for detecting human face in vivo based on a mobile phone front camera

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Embodiment Construction

[0029] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0030] Such as figure 1 Shown: a kind of human face detection method based on mobile phone front view camera, it is characterized in that:

[0031] Take the following steps,

[0032] Step 1: collect face images through the mobile phone camera device, and detect the faces;

[0033] Step 2: the recognition module extracts key points of the face from the collected face image;

[0034] Among the key points of the face, select the key points that meet the characteristics of the corner points as the calibration points, specifically select six key points, which are four corners of the eyes and two corners of the mouth;

[0035] Step 3: Perform optica...

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Abstract

The invention relates to a method for detecting a human face in vivo based on a mobile phone front camera. The method adopts the following steps: Step 1, a human face image is colleced through a mobile phone shooting device; Step 2, the recognition module extracts the key points of the human face from the collected face image; among the key points of the human face, the key points which accord with the corner features are selected as calibration points, and six key points are selected, which are four corners of eyes and two corners of mouth respectively; and Step 3: optical flow tracking is performed on the calibration points, and the calibration points that fail in optical flow tracking are filtered by a ransac algorithm, The invention is based on the structured light device to carry outthe non-perceptual in-vivo detection of the human face, and the detection speed is fast and the accuracy is high.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a face liveness detection method based on a front-view camera of a mobile phone. Background technique [0002] With the rise of the trend of artificial intelligence, face recognition technology has become more and more widely used in real life, and has become an important means of personal identification. However, with the convenience and friendliness of face recognition, the face recognition system also has the risk of user identity being impersonated. Criminals use printed paper and masks containing facial information, or play electronic photos, videos, etc. It can achieve the purpose of forging the identity of others. Therefore, face-based liveness detection technology is becoming more and more important and has become an indispensable module of face recognition system. Existing face liveness detection technologies can be divided into two categories according to the liveness ...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/45
Inventor 周曦周牧
Owner GUANGZHOU YUNCONG ARTIFICIAL INTELLIGENCE TECH CO LTD
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