Biometric Authentication: A Machine Learning Approach

4.6. Biometric Authentication Application Examples

SVMs are classifiers, which have demonstrated high generalization capabilities in many different tasks, including the object recognition problem. In Huang et al. [154], SVMs were applied to eye detection, which is often a vital step in face detection. In Popovici and Thiran [281], a method for face class modeling in the eigenfaces space, using a large-margin classifier similar to SVMs, was proposed. The paper also addresses the issue of how to effectively train the SVM to improve generalization. In Heisele et al. [133], a hierarchical SVM classifier is developed by (1) growing image parts by minimizing theoretical bounds on the error probability of an SVM, and (2) then combining component-based ...