The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Face liveness detection using dynamic texture
Open accessAbstract
User authentication is an important step to protect information, and in this context, face biometrics is potentially advantageous. Face biometrics is natural, intuitive, easy to use, and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using cheap low-tech equipment. This paper introduces a novel and appealing approach to detect face spoofing using the spatiotemporal (dynamic texture) extensions of the highly popular local binary pattern operator. The key idea of the approach is to learn and detect the structure and the dynamics of the facial micro-textures that characterise real faces but not fake ones. We evaluated the approach with two publicly available databases (Replay-Attack Database and CASIA Face Anti-Spoofing Database). The results show that our approach performs better than state-of-the-art techniques following the provided evaluation protocols of each database.
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Cites
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398
A comparative study of texture measures with classification based on featured distributions
Ojala, T., Pietikäinen, M., & Harwood, D. (1996) · Pattern Recognition · doi:10.1016/0031-3203(95)00067-4 · Cited by 6,882
Self-citationDynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
Zhao, G., & Pietikainen, M. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1110 · Cited by 2,846
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(2009) · doi:10.1109/iccv15264.2009 · Cited by 1,346
(2012) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 826
A face antispoofing database with diverse attacks
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Impact of artificial "gummy" fingers on fingerprint systems:
Matsumoto, T., Matsumoto, H., Yamada, K., & Hoshino, S. (2002) · SPIE Proceedings · doi:10.1117/12.462719 · Cited by 775
Face spoofing detection from single images using micro-texture analysis
Maatta, J., Hadid, A., & Pietikainen, M. (2011) · 2011 International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb.2011.6117510 · Cited by 679
Self-citation
Cited by
Face Spoof Detection With Image Distortion Analysis
Wen, D., Han, H., & Jain, A. K. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2400395 · Cited by 905
Deep Representations for Iris, Face, and Fingerprint Spoofing Detection
Menotti, D., Chiachia, G., Pinto, A., Robson Schwartz, W., Pedrini, H., Xavier Falcao, A., & Rocha, A. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2398817 · Cited by 485
Single-Side Domain Generalization for Face Anti-Spoofing
Jia, Y., Zhang, J., Shan, S., & Chen, X. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00851 · Cited by 313
Learning temporal features using LSTM-CNN architecture for face anti-spoofing
Xu, Z., Li, S., & Deng, W. (2015) · 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR) · doi:10.1109/acpr.2015.7486482 · Cited by 293
Regularized Fine-Grained Meta Face Anti-Spoofing
Shao, R., Lan, X., & Yuen, P. C. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i07.6873 · Cited by 196
Metadata
- Authors
- Freitas Pereira, T. D., Komulainen, J., Anjos, A., De Martino, J. M., Hadid, A., Pietikäinen, M., & Marcel, S.
- Venue
- EURASIP Journal on Image and Video Processing
- Published
- 2014-01-07
- Volume
- 2014
- Issue
- 1
- ISSN
- 1687-5176 (ISSN-L)
- 1687-5281
- OpenAlex
- W2118392996
- Cited by
- 263
- References
- 27
- FWCI
- 20.69
- Type
- journal article
- Language
- en
- Open access
- gold
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- Freitas Pereira, T. D., Komulainen, J., Anjos, A., De Martino, J. M., Hadid, A., Pietikäinen, M., & Marcel, S. (2014). Face liveness detection using dynamic texture. EURASIP Journal on Image and Video Processing. https://doi.org/10.1186/1687-5281-2014-2
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