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2023 | OriginalPaper | Chapter

Face-Anti-spoofing Based on Liveness Detection

Authors : Shivani Mangal, Khushboo Agarwal

Published in: Intelligent Cyber Physical Systems and Internet of Things

Publisher: Springer International Publishing

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Abstract

Many applications, like crossing points, banking, and mobile banking, are now using Face Recognition (FR) systems. The widespread usage of FR systems has heightened concerns about the security of face biometrics against spoofing assaults, in which a picture or video of a valid user's face is employed to attain unauthorized access to resources or activities. Even though numerous FAS or liveness detection techniques (which identify if a face is live or spoofed at the moment of acquisition) have been developed, the problem remains unsolved because of the complexity of identifying discriminatory and operationally affordable spoof characteristics and approaches. Furthermore, particular facial sections are frequently repetitive or correspond to image clutter, resulting in poor overall performance. This paper proposed a neural network model for face-anti-spoofing which outperforms the other models and shows an accuracy of 0.91%.

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Title: Face-Anti-spoofing Based on Liveness Detection
Authors: Shivani Mangal
Khushboo Agarwal
Publisher: Springer International Publishing
Book: Intelligent Cyber Physical Systems and Internet of Things
Print ISBN: 978-3-031-18496-3

Electronic ISBN: 978-3-031-18497-0

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-18497-0_19

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