Face liveness detection using variable focusing

Sooyeon Kim, Sunjin Yu, Kwangtaek Kim, Yuseok Ban, Sangyoun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Citations (Scopus)


As Face Recognition(FR) technology becomes more mature and commercially available in the market, many different anti-spoofing techniques have been recently developed to enhance the security, reliability, and effectiveness of FR systems. As a part of anti-spoofing techniques, face liveness detection plays an important role to make FR systems be more secured from various attacks. In this paper, we propose a novel method for face liveness detection by using focus, which is one of camera functions. In order to identify fake faces (e.g. 2D pictures), our approach utilizes the variation of pixel values by focusing between two images sequentially taken in different focuses. The experimental result shows that our focus-based approach is a new method that can significantly increase the level of difficulty of spoof attacks, which is a way to improve the security of FR systems. The performance is evaluated and the proposed method achieves 100% fake detection in a given DoF(Depth of Field).

Original languageEnglish
Title of host publicationProceedings - 2013 International Conference on Biometrics, ICB 2013
PublisherIEEE Computer Society
ISBN (Print)9781479903108
Publication statusPublished - 2013
Event6th IAPR International Conference on Biometrics, ICB 2013 - Madrid, Spain
Duration: 2013 Jun 42013 Jun 7

Publication series

NameProceedings - 2013 International Conference on Biometrics, ICB 2013


Other6th IAPR International Conference on Biometrics, ICB 2013

All Science Journal Classification (ASJC) codes

  • Biotechnology


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