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Face spoofing detection using improved SegNet architecture with a blur estimation technique
International Journal of Biometrics (IJBM), 2021Biometrics has been increasingly used as the well-known technology for the identification and verification of a person. Among the different biometric traits, the face has been extensively used for human identification and is therefore much vulnerable to ...
Sandeep Kumar +2 more
semanticscholar +1 more source
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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British Machine Vision Conference, 2021
Face biometrics have attracted significant attention in many security-based applications. The presentation attack (PA) or face spoofing is a cybercriminal attempt to gain illegitimate access to a victim’s device using photos, videos, or 3D artificial masks ...
Yaojia Huang +5 more
semanticscholar +1 more source
Face biometrics have attracted significant attention in many security-based applications. The presentation attack (PA) or face spoofing is a cybercriminal attempt to gain illegitimate access to a victim’s device using photos, videos, or 3D artificial masks ...
Yaojia Huang +5 more
semanticscholar +1 more source
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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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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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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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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2024 2nd World Conference on Communication & Computing (WCONF)
Facial recognition technology has gained widespread use in various applications, raising concerns about the weakness of frameworks to confront mocking assaults.
B. Kumar +4 more
semanticscholar +1 more source
Facial recognition technology has gained widespread use in various applications, raising concerns about the weakness of frameworks to confront mocking assaults.
B. Kumar +4 more
semanticscholar +1 more source