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Proceedings Paper

Live face detection based on the analysis of Fourier spectra
Author(s): Jiangwei Li; Yunhong Wang; Tieniu Tan; Anil K. Jain
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Paper 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.

Paper Details

Date Published: 25 August 2004
PDF: 8 pages
Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); doi: 10.1117/12.541955
Show Author Affiliations
Jiangwei Li, Institute of Automation/CAS (China)
Yunhong Wang, Institute of Automation/CAS (China)
Tieniu Tan, Institute of Automation/CAS (China)
Anil K. Jain, Michigan State Univ. (United States)


Published in SPIE Proceedings Vol. 5404:
Biometric Technology for Human Identification
Anil K. Jain; Nalini K. Ratha, Editor(s)

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