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Face Spoof Detection: An Experimental Framework
2021Face recognition has recently become widespread in security applications. Although advancing technology has improved the performance of these systems, they are still prone to various attacks, including spoofing. The inherent feature extraction capability of machine learning techniques and deep neural networks has facilitated more accurate performance ...
Faseela Abdullakutty +2 more
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Spoof detection on face and palmprint biometrics
Signal, Image and Video Processing, 2017Spoofing attacks made by non-real images are a major concern to biometric systems. This paper presents a novel solution for distinguishing between live and forged identities using the fusion of texture-based methods and image quality assessment measures. In our approach, we used LBP and HOG texture descriptors to extract texture information of an image.
Mina Farmanbar, Önsen Toygar
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FACE spoofing detection using LDP-TOP
2016 IEEE International Conference on Image Processing (ICIP), 2016In this paper, we propose a novel approach for face spoofing detection using the high-order Local Derivative Pattern from Three Orthogonal Planes (LDP-TOP). The proposed method is not only simple to derive and implement, but also highly efficient, since it takes into account both spatial and temporal information in different directions of subtle face ...
Phan, Quoc Tin +3 more
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Face spoofing detection with image quality regression
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2016Face spoofing detection nowadays has attracted attentions regarding the biometrics authentication issue. Inspired by the observation that face spoofing detection is highly relevant with the inherent image quality which also strongly depends on the properties of the capturing devices and conditions, in this paper, we tackle the spoofing detection ...
Haoliang Li +2 more
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Survey of non-intrusive face spoof detection methods
Multimedia Tools and Applications, 2021Biometrics are distinct physiological characteristics used to describe individuals. Compared to the traditional access control methods such as passwords and Person Identification Numbers (PIN) which can be forgotten and shared easily, biometrics are widely used in authentication systems.
Pooja R. Patil, Subhash S. Kulkarni
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Face Spoof Detection With Image Distortion Analysis
IEEE Transactions on Information Forensics and Security, 2015Automatic face recognition is now widely used in applications ranging from deduplication of identity to authentication of mobile payment. This popularity of face recognition has raised concerns about face spoof attacks (also known as biometric sensor presentation attacks), where a photo or video of an authorized person’s face could be used to gain ...
Di Wen 0001 +2 more
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Secure Face Unlock: Spoof Detection on Smartphones
IEEE Transactions on Information Forensics and Security, 2016With the wide deployment of the face recognition systems in applications from deduplication to mobile device unlocking, security against the face spoofing attacks requires increased attention; such attacks can be easily launched via printed photos, video replays, and 3D masks of a face.
Keyurkumar Patel +2 more
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Face Spoofing Detection Using Dynamic Texture
2013While there is a significant number of works addressing e.g. pose and illumination variation problems in face recognition, the vulnerabilities to spoofing attacks were mostly unexplored until very recently when an increasing attention is started to be paid to this threat.
Komulainen Jukka +2 more
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An Overview of Biometrics and Face Spoofing Detection
2020Biometric systems have been using widely and these systems have improved substantially which are being used for persons Authentication and verification. This Biometrics is playing a key role in Personal, National and Global security. The main approach of this paper is to tell the importance of Biometric systems.
Sista Venkata Naga Veerabhadra Sai Sudeep +3 more
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Hybrid feature descriptors to detect face spoof attacks
Journal of Intelligent & Fuzzy Systems, 2018Face Recognition is widely used applications such as of mobile phone unlocking, credit card authentication and person authentication in airports. The face biometric authentication system can be easily spoofed by printed photograph, replay video of the legitimate user and 3D face mask.
V. Mohanraj +5 more
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