A Survey on Face Anti-Spoofing Algorithms

The development of artificial intelligence makes the application of face recognition more and more extensive, which also leads to the security of face recognition technology increasingly prominent. How to design a face anti-spoofing method with high accuracy, strong generalization ability and meetin...

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Bibliographic Details
Published inJournal of information hiding and privacy protection Vol. 2; no. 1; pp. 21 - 34
Main Authors Zhang, Meigui, Zeng, Kehui, Wang, Jinwei
Format Journal Article
LanguageEnglish
Published Henderson Tech Science Press 2020
Subjects
Algorithms
Artificial intelligence
Face recognition
Machine learning
Spoofing
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Summary:The development of artificial intelligence makes the application of face recognition more and more extensive, which also leads to the security of face recognition technology increasingly prominent. How to design a face anti-spoofing method with high accuracy, strong generalization ability and meeting practical needs is the focus of current research. This paper introduces the research progress of face anti-spoofing algorithm, and divides the existing face anti-spoofing methods into two categories: methods based on manual feature expression and methods based on deep learning. Then, the typical algorithms included in them are classified twice, and the basic ideas, advantages and disadvantages of these algorithms are analyzed. Finally, the methods of face anti-spoofing are summarized, and the existing problems and future prospects are expounded.
ISSN:2637-4226
2637-4234
2637-4226
DOI:10.32604/jihpp.2020.010467