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Face Anti-spoofing Based on Motion
2018People 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 +3 more
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Disentangled Representation based Face Anti-Spoofing
2020 25th International Conference on Pattern Recognition (ICPR), 2021Face 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 +5 more
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A Robust Method with DropBlock for Face Anti-Spoofing
2021 International Joint Conference on Neural Networks (IJCNN), 2021Face anti-spoofing is an important component for reliable face recognition. Previous deep learning methods usually exploit a large network structure and are prone to be overfitting when the face anti-spoofing database is a small scale. And in some occasions, multi-frame information or other auxiliary information is not available.
Gang Wu, Zhuo Zhou, Zhenhua Guo 0001
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Face anti-spoofing using Haralick features
2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2016Face 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 +2 more
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Face anti-spoofing based on sharpness profiles
2017 IEEE International Conference on Industrial and Information Systems (ICIIS), 2017Natural images particularly connected with portraits exhibit a diversity in the sharpness profile commensurate with varying depth associated with different parts of the face. This depth variation puts the object (the 3D face) slightly out of focus in different parts of the image.
Kannan Karthik, Balaji Rao Katika
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Face Anti-Spoofing with Multi-Scale Information
2018 24th International Conference on Pattern Recognition (ICPR), 2018Face anti-spoofing has encountered increasing demand as one of the key technologies for reliable and safe authentication with faces. Current face anti-spoofing methods generally take a single crop of face region as input for classification, i.e. exploiting information at only one scale.
Shiying Luo +4 more
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Face anti-spoofing with multifeature videolet aggregation
2016 23rd International Conference on Pattern Recognition (ICPR), 2016Biometric 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 +6 more
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Multimodal contrastive learning for face anti-spoofing
Engineering Applications of Artificial IntelligencePengchao Deng, Chenyang Ge, Hao Wei
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Journal of Experimental & Theoretical Artificial Intelligence, 2023
Muhammad Ibrahim Syed +5 more
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Muhammad Ibrahim Syed +5 more
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A Personalized Benchmark for Face Anti-spoofing
2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022Davide Belli +3 more
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