User Authentication based on Face Recognition with Support Vector Machines

Authors:
Paolo Abeni;Madalina Baltatu;Rosalia D'Alessandro
Affiliations:
Telecom Italia, Security Innovation;Telecom Italia, Security Innovation;Telecom Italia, Security Innovation
Venue:
CRV '06 Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision
Year:
2006

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Abstract

The present paper proposes an authentication scheme which relies on face biometrics and one-class Support Vector Machines. The proposed recognition procedures are based on both a global approach and on a combination of a global and a component-based approaches. Two different features extraction methods and three light compensation algorithms are tested. The combined system outperforms the global system and yields a significant performance enhancement with respect to the prior results obtained with the one-class Support Vector Machines approach for face recognition.