Results 161 to 170 of about 10,620 (187)

Investigation in Spatial-Temporal Domain for Face Spoof Detection

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
This paper focuses on face spoofing detection using video. The purpose is to find out the best scheme for this task in the end-to-end learning manner. We investigate 4 different types of structure to fully exploit the raw data in its spatial-temporal domain, which are the pure CNN, CNN with 3D convolution, CNN+LSTM and CNN+Conv-LSTM.
Zhonglin Sun, Li Sun 0012, Qingli Li
openaire   +1 more source

Face spoofing detection with highlight removal effect and distortions

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016
With rapid development of face recognition and detection techniques, the face has been frequently used as a biometric to find illegitimate access. It relates to a security issues of system directly, and hence, the face spoofing detection is an important issue.
Inhan Kim, Juhyun Ahn, Daijin Kim 0001
openaire   +1 more source

Face anti-spoofing detection methods

2023
We have entered an era of misinformation, fake news and impersonation fuelled by Ar- tificial Intelligence (AI). Visual content have been jeopardized by malicious entities in an attempt to fool security systems by pretending someone else’s identity. Such entities, usually seek elevated access to critical infrastructures like online banking, government ...
openaire   +1 more source

Face spoofing attack detection based on the behavior of noises

2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016
This paper aims to study the problem of spoofing attack detection for facial recognition systems. Real faces and falsified faces present in front of a security system (phone's camera in our case) have differences of micro-textures on their surface, which are exploited to discriminate face spoofing images.
Nguyen, Hoai Phuong, Retraint, Florent, Morain-Nicolier, Frederic, Delahaies, Agnès   +3 more
openaire   +2 more sources

Computationally Efficient Face Spoofing Detection with Motion Magnification

2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013
For a robust face biometric system, a reliable anti-spoofing approach must be deployed to circumvent the print and replay attacks. Several techniques have been proposed to counter face spoofing, however a robust solution that is computationally efficient is still unavailable.
Samarth Bharadwaj, Tejas I. Dhamecha, Mayank Vatsa, Richa Singh 0001   +3 more
openaire   +1 more source

Efficient Transfer Learning for Robust Face Spoofing Detection

2018
Biometric systems are synonym of security. However, nowadays, criminals are violating them by presenting forged traits, such as facial photographs, to fool their capture sensors (spoofing attacks). In order to detect such frauds, handcrafted methods have been proposed.
Gustavo Botelho de Souza, Daniel F. S. Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João P. Papa   +4 more
openaire   +1 more source

Face Spoofing and Presentation Attack Detection

2022 IEEE World Conference on Applied Intelligence and Computing (AIC), 2022
Anubhab Nandy, Satish Kumar Singh
openaire   +1 more source

Designing Efficient Spoof Detection Scheme for Face Biometric

2018
Spoofing attacks provided by fake individuals are considered as a major interest on biometric systems. To implement a robust face biometric system, deploying a reliable anti-spoofing scheme is needed. The concentration of this study to organize the anti-spoofing technique is on overlapped face textures together with image quality assessment.
Maryam Eskandari, Omid Sharifi
openaire   +1 more source

Dual Camera Based Feature for Face Spoofing Detection

2016
This paper presents a fused feature using dual cameras for face spoofing detection. The feature takes full advantage of input image pairs in terms of texture and depth. It consists of two parts: 2D component and 3D component. For the former, we propose an algorithm based on image similarity to combine every pair of input images into one gray-level ...
Xudong Sun 0001, Lei Huang 0002, Changping Liu   +2 more
openaire   +1 more source

Person-Specific Face Spoofing Detection Based on a Siamese Network

Pattern Recognition, 2023
Mingtao Pei
exaly