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.
Citation:
Paolo Abeni, Madalina Baltatu, Rosalia D?Alessandro, "User Authentication based on Face Recognition with Support Vector Machines," crv, pp.42, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006