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Generation of Changeable Face Template by Combining Independent Component Analysis Coefficients  

Jeong, Min-Yi (Biometric Engineering Research Center, Yonsei University)
Lee, Chel-Han (Biometric Engineering Research Center, Yonsei University)
Choi, Jeung-Yoon (Biometric Engineering Research Center, Yonsei University)
Kim, Jai--Hie (Biometric Engineering Research Center, Yonsei University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.6, 2007 , pp. 16-23 More about this Journal
Abstract
Changeable biometrics has been developed as a solution to problem of enhancing security and privacy. The idea is to transform a biometric signal or feature into a new one for the purposes of enrollment and matching. In this paper, we propose a changeable biometric system that can be applied to appearance based face recognition system. In the first step when using feature extraction, ICA(Independent Component Analysis) coefficient vectors extracted from an input face image are replaced randomly using their mean and variation. The transformed vectors by replacement are scrambled randomly and a new transformed face coefficient vector (transformed template) is generated by combination of the two transformed vectors. When this transformed template is compromised, it is replaced with new random numbers and a new scrambling rule. Because e transformed template is generated by e addition of two vectors, e original ICA coefficients could not be easily recovered from the transformed coefficients.
Keywords
Biometrics; Changeable biometries; Face recognition; Independent component analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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