Face liveness detection using variable focusing
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...
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Published in | 2013 International Conference on Biometrics (ICB) pp. 1 - 6 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2013
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Abstract | 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). |
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AbstractList | 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). |
Author | Sooyeon Kim Yuseok Ban Sunjin Yu Sangyoun Lee Kwangtaek Kim |
Author_xml | – sequence: 1 surname: Sooyeon Kim fullname: Sooyeon Kim email: sykim1221@yonsei.ac.kr organization: Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea – sequence: 2 surname: Sunjin Yu fullname: Sunjin Yu email: sjyu@chu.ac.kr organization: Dept. of Broadcasting & Film, Cheju Halla Univ., Jeju, South Korea – sequence: 3 surname: Kwangtaek Kim fullname: Kwangtaek Kim email: kwangk@microsoft.com organization: Human Comput. Interaction Group, Microsoft Res. Asia, Beijing, China – sequence: 4 surname: Yuseok Ban fullname: Yuseok Ban email: van@yonsei.ac.kr organization: Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea – sequence: 5 surname: Sangyoun Lee fullname: Sangyoun Lee email: syleee@yonsei.ac.kr organization: Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea |
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Snippet | As Face Recognition(FR) technology becomes more mature and commercially available in the market, many different anti-spoofing techniques have been recently... |
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SubjectTerms | Cameras Ear Face Feature extraction Focusing Nose |
Title | Face liveness detection using variable focusing |
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