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Statistical analysis of image quality measures for face liveness detection


Raheem, Enas A. and Syed Ahmad, Sharifah Mumtazah (2019) Statistical analysis of image quality measures for face liveness detection. Lecture Notes in Electrical Engineering, 547. pp. 543-549. ISSN 1876-1100; ESSN: 1876-1119


Face recognition is essential for a wide range of technologies that requires person identification. Due to the presence of spoof face attacks, an additional layer of security is needed to protect the system, which can be provided by liveness detection. In this paper we develop a technique for discriminating live from fake images. Our approach is based upon the hypothesis that spoofing scheme leave statistical indication or structure in images which can be utilized for detection by assistance of image quality features. To achieve this, image quality measures (IQMs) statistical evaluation has been implemented using the analysis of variance (ANOVA) technique. A feature set of measures with highest discrimination power to distinguish between real and fake images was obtained. This ensures the simplicity of detection system and improves its computational efficiency.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Springer
Keywords: Analysis of variance; Image quality measures; Face liveness detection
Depositing User: Mr. Sazali Mohamad
Date Deposited: 16 Dec 2020 00:56
Last Modified: 16 Dec 2020 00:56
URI: http://psasir.upm.edu.my/id/eprint/82247
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