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Living body recognition method, storage medium, and computer device

專利號(hào)
US11176393B2
公開日期
2021-11-16
申請(qǐng)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

As shown in FIG. 8, in an embodiment, a face liveness recognition apparatus 800 is provided. Referring to FIG. 8, the face liveness recognition apparatus 800 includes: an obtaining module 801, a first extraction module 802, a first recognition module 803, a second extraction module 804, a second recognition module 805, and an output module 806.

The obtaining module 801 is configured to obtain a target image.

The first extraction module 802 is configured to extract facial feature data of a facial image in the target image.

The first recognition module 803 is configured to perform face liveness recognition according to the facial feature data to obtain a first confidence level. The first confidence level denotes a first probability of recognizing a live face or person.

The second extraction module 804 is configured to extract background feature data from an extended facial image. The extended facial image is obtained by extending a region that covers the facial image.

The second recognition module 805 is configured to perform face liveness recognition according to the background feature data to obtain a second confidence level. The second confidence level denotes a second probability of recognizing a live face or person.

The output module 806 is configured to obtain, according to the first confidence level and the second confidence level, a recognition result indicating that the target image is a live facial image.

權(quán)利要求

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