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...

Full description

Saved in:
Bibliographic Details
Published in2013 International Conference on Biometrics (ICB) pp. 1 - 6
Main Authors Sooyeon Kim, Sunjin Yu, Kwangtaek Kim, Yuseok Ban, Sangyoun Lee
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
Cameras
Ear
Face
Feature extraction
Focusing
Nose
Online AccessGet full text

Cover

More Information
Summary: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).
ISSN:2376-4201
DOI:10.1109/ICB.2013.6613002