Special Section on Biometrics: Advances in Security, Usability, and Interoperability

Face authentication using a hybrid approach

[+] Author Affiliations
Vitomir Štruc

University of Ljubljana, Faculty of Electrical Engineering, Tržaška 25, SI-1000 Ljubljana, Slovenia

France Mihelič

University of Ljubljana, Faculty of Electrical Engineering, Tržaška 25, SI-1000 Ljubljana, Slovenia

Nikola Pavešić

University of Ljubljana, Faculty of Electrical Engineering, Tržaška 25, SI-1000 Ljubljana, Slovenia

J. Electron. Imaging. 17(1), 011003 (March 03, 2008). doi:10.1117/1.2885149
History: Received June 15, 2007; Revised October 22, 2007; Accepted November 01, 2007; Published March 03, 2008
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We present a hybrid approach to face feature extraction based on the trace transform and the novel kernel partial least-squares discriminant analysis (KPA). The hybrid approach, called trace kernel partial least-squares discriminant analysis (TKPA), first uses a set of 15 trace functionals to derive robust and discriminative facial features and then applies the KPA method to reduce their dimensionality. The feasibility of the proposed approach was successfully tested on the XM2VTS database, where a false rejection rate (FRR) of 1.25% and a false acceptance rate (FAR) of 2.11% were achieved in our best-performing face authentication experiment. The experimental results also show that the proposed approach can outperform kernel methods such as generalized discriminant analysis (GDA), kernel Fisher analysis (KFA), and complete kernel Fisher discriminant analysis (CKFA) as well as combinations of these methods with features extracted using the trace transform.

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Citation

Vitomir Štruc ; France Mihelič and Nikola Pavešić
"Face authentication using a hybrid approach", J. Electron. Imaging. 17(1), 011003 (March 03, 2008). ; http://dx.doi.org/10.1117/1.2885149


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