Live face detection based on the analysis of Fourier spectra

Jiangwei Li; Yunhong Wang; Tieniu Tan; Anil K. Jain

doi:10.1117/12.541955

25 August 2004 Live face detection based on the analysis of Fourier spectra

Jiangwei Li, Yunhong Wang, Tieniu Tan, Anil K. Jain

Proceedings Volume 5404, Biometric Technology for Human Identification; (2004) https://doi.org/10.1117/12.541955
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Jiangwei Li, Yunhong Wang, Tieniu Tan, and Anil K. Jain "Live face detection based on the analysis of Fourier spectra", Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); https://doi.org/10.1117/12.541955

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