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Living body recognition method, storage medium, and computer device

專利號
US11176393B2
公開日期
2021-11-16
申請人
TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED（CN Shenzhen）
發(fā)明人
Shuang Wu; Shouhong Ding; Yicong Liang; Yao Liu; Jilin Li
IPC分類
G06K9/62; G06K9/00; G06T7/194
技術(shù)領(lǐng)域
facial,image,liveness,confidence,model,training,live,target,feature,face
地域： Shenzhen

摘要

A face liveness recognition method includes: obtaining a target image containing a facial image; extracting facial feature data of the facial image in the target image; performing face liveness recognition according to the facial feature data to obtain a first confidence level using a first recognition model, the first confidence level denoting a first probability of recognizing a live face; extracting background feature data from an extended facial image, the extended facial image being obtained by extending a region that covers the facial image; performing face liveness recognition according to the background feature data to obtain a second confidence level using a second recognition model, the second confidence level denoting a second probability of recognizing a live face; and according to the first confidence level and the second confidence level, obtaining a recognition result indicating that the target image is a live facial image.

說明書

S724. Classify the target image through a fully connected layer of the second recognition model according to the extracted background feature data to obtain a second confidence level of the target image being a live facial image.

S726. Integrate the first confidence level and the second confidence level to obtain a confidence level of the target image being a live facial image.

S728. Determine whether the confidence level reaches a preset confidence level threshold; if the confidence level reaches the preset confidence level threshold, perform S730; if the confidence level does not reach the preset confidence level threshold, perform S732.

S730. Determine that the target image is a live facial image, when the confidence level reaches the preset confidence level threshold.

S732. Determine that the target image is a non-live facial image, when the confidence level does not reach the preset confidence level threshold.

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