A new face presentation attack detection method based on face-weighted multi-color multi-level texture features-Reference-Cited by-同舟云学术

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A new face presentation attack detection method based on face-weighted multi-color multi-level texture features

Published:2023-05-28 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Turhal Uğur^ORCID,Günay Yılmaz Asuman,Nabiyev Vasif

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s00371-023-02866-2.pdf

Reference43 articles.

1. Imaoka, H., Hashimoto, H., Takahashi, K., et al.: The future of biometrics technology: from face recognition to related applications. APSIPA Trans. Signal Inf. Process. (2021). https://doi.org/10.1017/ATSIP.2021.8

2. Shu, X., Tang, H., Huang, S.: Face spoofing detection based on chromatic ED-LBP texture feature. Multimed. Syst. 27, 161–176 (2021). https://doi.org/10.1007/s00530-020-00719-9

3. de Freitas Pereira, T., Komulainen, J., Anjos, A., et al (2014) Face liveness detection using dynamic texture. EURASIP J. Image Video Process.

4. Boulkenafet, Z., Komulainen, J., Hadid, A.: Face anti-spoofing based on color texture analysis. In: Proceedings—International Conference on Image Processing, ICIP 2015, pp. 2636–2640. (2015)

5. Parveen, S., Ahmad, S.M.S., Abbas, N.H., et al.: Face liveness detection using dynamic local ternary pattern (DLTP). Computers 5, 1–15 (2016). https://doi.org/10.3390/computers5020010

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1. Biometric Application on Facial Image Recognition Techniques;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

2. FLBP: Fechner local binary pattern for face representation;The Visual Computer;2023-08-17

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