Bimodal face authentication method with living body detection function and system
A technology of living body detection and authentication method, applied in the field of data recognition, can solve problems such as inability to detect live faces, system photos or model deception, system identification failure, etc., to avoid identification failure, improve identification and authentication accuracy, and avoid deception.
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Embodiment 1
[0034] like figure 1 Shown, a kind of embodiment one of the bimodal face authentication method with living body detection function, comprises the following steps:
[0035] A. Establish a database 101 storing visible light training images and near-infrared training images of faces with known identities;
[0036] B1. Simultaneously collect visible light images and near-infrared images of the head of the person to be authenticated through the image collection module 102;
[0037] B2. Judging whether the human face can be detected from the visible light image and the near-infrared image simultaneously by the human face detection module, if not, return to the step B1, and if it is possible, the human face area in the visible light image Intercept it as "visible light image of human face", and intercept the human face area in the near-infrared image as "near-infrared image of human face", and proceed to the next step;
[0038] C1. Perform histogram equalization on the human face v...
Embodiment 2
[0056] like image 3 As shown, a second embodiment of a dual-mode face authentication method with a living body detection function may further comprise the steps:
[0057] A. Establish a database 101 storing visible light training images and near-infrared training images of faces with known identities;
[0058] B1. Simultaneously collect visible light images and near-infrared images of the head of the person to be authenticated through the image collection module 102;
[0059] B2. Judging whether the human face can be detected from the visible light image and the near-infrared image simultaneously by the human face detection module, if not, return to the step B1, and if it is possible, the human face area in the visible light image Intercept it as "visible light image of human face", and intercept the human face area in the near-infrared image as "near-infrared image of human face", and proceed to the next step;
[0060] C1. Perform histogram equalization on the human face v...
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