The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Live face detection based on the analysis of Fourier spectra:
Abstract
Biometrics is a rapidly developing technology that is to identify a person based on his or her physiological or behavioral characteristics. To ensure the correction of authentication, the biometric system must be able to detect and reject the use of a copy of a biometric instead of the live biometric. This function is usually termed "liveness detection". This paper describes a new method for live face detection. Using structure and movement information of live face, an effective live face detection algorithm is presented. Compared to existing approaches, which concentrate on the measurement of 3D depth information, this method is based on the analysis of Fourier spectra of a single face image or face image sequences. Experimental results show that the proposed method has an encouraging performance.
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Cites
Face recognition: A literature survey
Zhao, W., Chellappa, R., Phillips, P. J., & Rosenfeld, A. (2003) · ACM Computing Surveys · doi:10.1145/954339.954342 · Cited by 6,163
Lambertian reflectance and linear subspaces
Basri, R., & Jacobs, D. W. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1177153 · Cited by 1,576
Jain, A. K., Ross, A. A., & Nandakumar, K. (2011) · Springer eBooks · doi:10.1007/978-0-387-77326-1 · Cited by 969
Self-citationLuce, R. D. (1963) · Medical Entomology and Zoology · Cited by 656
On the computation of motion from sequences of images-A review
Aggarwal, J. K., & Nandhakumar, N. (1988) · Proceedings of the IEEE · doi:10.1109/5.5965 · Cited by 644
Azarbayejani, A. J., Starner, T. E., Horowitz, B., et al. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.216730 · Cited by 185
Cited by
Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues
Qian, Y., Yin, G., Sheng, L., Chen, Z., & Shao, J. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-58610-2_6 · Cited by 1,058
(2012) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 826
Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey
Ramachandra, R., & Busch, C. (2018) · ACM Computing Surveys · doi:10.1145/3038924 · Cited by 332
An overview of face liveness detection
Chakraborty, S., & Das, D. (2014) · International Journal on Information Theory · doi:10.5121/ijit.2014.3202 · Cited by 68
Metadata
- Authors
- Li, J., Wang, Y., Tan, T., & Jain, A. K.
- Venue
- SPIE Proceedings
- Publisher
- SPIE
- Published
- 2004-08-25
- Volume
- 5404
- Pages
- 296-303
- ISSN
- 0277-786X (ISSN-L)
- OpenAlex
- W2136666231
- Cited by
- 339
- References
- 6
- FWCI
- 3.24
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Li, J., Wang, Y., Tan, T., & Jain, A. K. (2004). Live face detection based on the analysis of Fourier spectra:. SPIE Proceedings. https://doi.org/10.1117/12.541955
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