A Live Face Recognition Method Based on Blink Detection

A face recognition and living body technology, applied in the field of face recognition, can solve problems that affect the accuracy or efficiency of living body detection, strict image requirements, complex calculation methods, etc., to improve accuracy, improve accuracy and efficiency, and calculate The effect of simple method

Active Publication Date: 2020-09-08
CHENGDU UNIV +1
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Problems solved by technology

[0005] The purpose of the present invention is to solve the technical problems that the existing current living body detection methods have complex calculation methods, strict requirements on images, etc., which seriously affect the accuracy or efficiency of living body detection

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  • A Live Face Recognition Method Based on Blink Detection
  • A Live Face Recognition Method Based on Blink Detection
  • A Live Face Recognition Method Based on Blink Detection

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Embodiment Construction

[0029] The present invention will be further described in detail below in conjunction with test examples and specific embodiments. However, it should not be understood that the scope of the above subject matter of the present invention is limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0030] Such as figure 1 Shown the present invention is based on the flow chart of the living face recognition method of blink detection; Wherein, the method of the present invention comprises, following steps:

[0031] Step 1: Read the image in the face video detected by the camera.

[0032] Step 2: Detect the face in the current frame image, and locate the feature points used to calibrate the upper and lower eyelids. When detecting a human face, first detect all the feature points used for facial features, and then extract the feature points used to calibrate the upper and lower e...

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Abstract

The invention discloses a living human face recognition method based on blink detection. The method reads the image in the human face video detected by the camera, and calculates the distance value between the upper and lower eyelid feature points of the human face in each frame of image, When the read frame number reaches the frame number threshold, according to the fluctuation of the distance value between the upper and lower eyelid feature points of the face in the read image, it is judged whether the face in the face video is a living body, if the person If the face in the face video is a living body, face recognition is performed on the face in the face video. Therefore, the calculation method of the present invention is simple, has low requirements on images, and can improve the accuracy and efficiency of living body detection.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a method for detecting living human faces based on blink detection. Background technique [0002] Nowadays, face recognition systems are more and more used in daily life. In order to ensure the safety of the application, the face recognition system is required to prevent interference and counterfeiting of photos, videos, and 3D face models. Simple blink detection is Unable to meet the protection requirements. [0003] Liveness detection algorithms are mainly divided into three categories: (1) Motion-based methods, which mainly analyze the motion trend of the image frame sequence to determine the background of the image or the unconscious actions of the user, but the calculation process is complicated. (2) Texture-based methods, mainly by finding out the salient distinguishing features of single-frame real faces and deceptive faces for liveness judgment, because deceptiv...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/172G06V20/41G06V40/45
Inventor 余化鹏刘佳徐智勇邱小霞
Owner CHENGDU UNIV
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