User Authentication based on Face Recognition with Support Vector Machines

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.

• Type: Conference
• Year: 2006
• Where: CRV
• Authors: Paolo Abeni, Madalina Baltatu, Rosalia D'Alessandro
• Keywords: CRV 2006, Global Approach, One-class Support Vector, Robotics, Support Vector Machines