Face Liveness Detection Based on Client Identity Using Siamese Network
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ID: 283530
2019
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Abstract
Face liveness detection is an essential prerequisite for face recognition
applications. Previous face liveness detection methods usually train a binary
classifier to differentiate between a fake face and a real face before face
recognition. The client identity information is not utilized in previous face
liveness detection methods. However, in practical face recognition
applications, face spoofing attacks are always aimed at a specific client, and
the client identity information can provide useful clues for face liveness
detection. In this paper, we propose a face liveness detection method based on
the client identity using Siamese network. We detect face liveness after face
recognition instead of before face recognition, that is, we detect face
liveness with the client identity information. We train a Siamese network with
image pairs. Each image pair consists of two real face images or one real and
one fake face images. The face images in each pair come from a same client.
Given a test face image, the face image is firstly recognized by face
recognition system, then the real face image of the identified client is
retrieved to help the face liveness detection. Experiment results demonstrate
the effectiveness of our method.
| Reference Key |
pei2019face
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|---|---|
| Authors | Huiling Hao; Mingtao Pei |
| Journal | arXiv |
| Year | 2019 |
| DOI |
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