Biometric Authentication: A Machine Learning Approach

6.5. Biometric Authentication Application Examples

There are a number of examples in which a MOE has been successfully applied to face and speaker authentication systems. For example, in Gutta et al. [124], the mixture-of-experts is implemented based on the divide-and-conquer modularity principle, taking fully into account the granularity and locality of information. The proposed MOE consists of ensembles of local RBF experts, and a gating network is implemented by inductive decision trees and support vector machines (SVMs). The gating network is responsible for deciding which expert should be used to determine classification output. The learning model was successfully applied to pose classification and gender and ethnic classification of human ...