Face liveness detection with component dependent descriptor

Spoofing attacks mainly include printing artifacts, electronic screens and ultra-realistic face masks or models. In this paper, we propose a component-based face coding approach for liveness detection. The proposed method consists of four steps: (1) locating the components of face; (2) coding the lo...

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Bibliographic Details
Main Authors: Jianwei Yang, Zhen Lei, Shengcai Liao, Li, Stan Z.
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Encoding
Face
Feature extraction
Histograms
Vectors
Citations: Items that cite this one
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Summary:Spoofing attacks mainly include printing artifacts, electronic screens and ultra-realistic face masks or models. In this paper, we propose a component-based face coding approach for liveness detection. The proposed method consists of four steps: (1) locating the components of face; (2) coding the low-level features respectively for all the components; (3) deriving the high-level face representation by pooling the codes with weights derived from Fisher criterion; (4) concatenating the histograms from all components into a classifier for identification. The proposed framework makes good use of micro differences between genuine faces and fake faces. Meanwhile, the inherent appearance differences among different components are retained. Extensive experiments on three published standard databases demonstrate that the method can achieve the best liveness detection performance in three databases.
ISSN:2376-4201
DOI:10.1109/ICB.2013.6612955