Results 131 to 140 of about 504 (172)

Diffusing the Liveness Cues for Face Anti-spoofing

Proceedings of the 29th ACM International Conference on Multimedia, 2021
Face anti-spoofing is an important step for secure face recognition. One of the main challenges is how to learn and build a general classifier that is able to resist various presentation attacks. Recently, the patch-based face anti-spoofing schemes are shown to be able to improve the robustness of the classifier.
Sheng Li 0006, Xun Zhu, Guorui Feng, Xinpeng Zhang 0001, Zhenxing Qian   +4 more
openaire   +1 more source

Anti-spoofing: Face Databases

2014
Datasets for the evaluation of face verification system vulnerabilities to spoofing attacks and for the evaluation of face spoofing countermeasures.
Anjos, André, Chingovska, Ivana, Marcel, Sébastien   +2 more
openaire   +2 more sources

Face Anti-spoofing: Visual Approach

2014
User authentication is an important step to protect information and in this regard face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work revealed that face biometrics is quite vulnerable to spoofing attacks.
Anjos, André, Komulainen, Jukka, Marcel, Sébastien, Hadid, Abdenour, Pietikainen, Matti   +4 more
openaire   +2 more sources

Face anti-spoofing by using Feature Fusion

2021 3rd International Conference on Pattern Recognition and Intelligent Systems, 2021
Security issues have attracted more and more attention with the application of face recognition technology. Face anti-spoofing has become an important derivative subject in the current research of face recognition, More and more researchers are devoted to the research of face anti-spoofing by the increase of fake face types. Even face anti-spoofing has
Qiong Liu, Lan Zhang
openaire   +1 more source

Multimodal contrastive learning for face anti-spoofing

Engineering Applications of Artificial Intelligence
Chenyang Ge, Xin Qiao
exaly   +2 more sources

Consistency Regularization for Deep Face Anti-Spoofing

IEEE Transactions on Information Forensics and Security, 2023
Face anti-spoofing (FAS) plays a crucial role in securing face recognition systems. Empirically, given an image, a model with more consistent output on different views (i.e., augmentations) of this image usually performs better, as shown in Fig. 1. Motivated by this exciting observation, we conjecture that encouraging feature consistency of different ...
Zezheng Wang, Zitong Yu, Xun Wang, Yunxiao Qin, Jiahong Li, Chenxu Zhao, Xin Liu 0012, Zhen Lei 0001   +7 more
openaire   +1 more source

Face Anti-spoofing Based on Motion

2018
People can have access to biometric system easily by face spoofing attack. Recent researches have proposed many anti-spoofing strategies based on eye blinking, facial expression changes, mouth movements or skin texture. As for the face which has slight trembling, there are few specific methods about it.
Ran Wang, Jing Xiao 0004, Ruimin Hu, Xu Wang 0015   +3 more
openaire   +1 more source

Disentangled Representation based Face Anti-Spoofing

2020 25th International Conference on Pattern Recognition (ICPR), 2021
Face anti-spoofing is an important problem for both academic research and industrial face recognition systems. Most of the existing face anti-spoofing methods take it as a classification task on individual static images, where motion pattern differences in consecutive real or fake face sequences are ignored.
Zhao Liu, Zunlei Feng, Zeyu Zou, Rong Zhang, Mingli Song, Jianping Shen   +5 more
openaire   +1 more source

Face anti-spoofing using Haralick features

2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2016
Face spoofing can be performed in a variety of ways such as replay attack, print attack, and mask attack to deceive an automated recognition algorithm. To mitigate the effect of spoofing attempts, face anti-spoofing approaches aim to distinguish between genuine samples and spoofed samples.
Akshay Agarwal 0001, Richa Singh 0001, Mayank Vatsa   +2 more
openaire   +1 more source

Face anti-spoofing with multifeature videolet aggregation

2016 23rd International Conference on Pattern Recognition (ICPR), 2016
Biometric systems can be attacked in several ways and the most common being spoofing the input sensor. Therefore, anti-spoofing is one of the most essential prerequisite against attacks on biometric systems. For face recognition it is even more vulnerable as the image capture is non-contact based. Several anti-spoofing methods have been proposed in the
Talha Ahmad Siddiqui, Samarth Bharadwaj, Tejas I. Dhamecha, Akshay Agarwal 0001, Mayank Vatsa, Richa Singh 0001, Nalini K. Ratha   +6 more
openaire   +1 more source