@Article{jihpp.2020.010467,
AUTHOR = {Meigui Zhang, Kehui Zeng, Jinwei Wang},
TITLE = {A Survey on Face Anti-Spoofing Algorithms},
JOURNAL = {Journal of Information Hiding and Privacy Protection},
VOLUME = {2},
YEAR = {2020},
NUMBER = {1},
PAGES = {21--34},
URL = {http://www.techscience.com/jihpp/v2n1/40333},
ISSN = {2637-4226},
ABSTRACT = {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.},
DOI = {10.32604/jihpp.2020.010467}
}