Biometric person authentication (4)
We have recently proposed a novel approach to discriminant analysis that combines statistical pattern recognition and Support Vector Machines to reformulate the objective function employed in Fisher's Linear Discriminant to a quadratic optimization problem subject to a set of appropriate inequality constraints.
The MDLA enhanced by this variant of SVMs yields an equal error rate of 2.4% on M2VTS database.