Biometric Authentication: A Machine Learning Approach

8.3. Facial Pattern Classification Techniques

As discussed in Section 2.2.6, the pattern classifier and feature extractor are often a complementary pair in the biometric identification paradigm. A powerful classifier needs to be adopted to separate the features from a simple extractor. Neural network techniques are widely applied and suitable for face recognition algorithms. Instead of recognizing a face by following a set of human-designed rules, neural networks learn the underlying rules from a given collection of representative examples. This ability to automatically learn from examples makes neural network approaches attractive and exciting. Moreover, it is well known that neural networks are very robust and adaptive. Therefore, for applications ...