Biometric Authentication: A Machine Learning Approach

10.1. Introduction

Various research studies have suggested that no single modality can provide an adequate solution for high-security applications. These studies agree that it is vital to use multiple modalities such as visual, infrared, acoustic, chemical sensors, and so on.

The problem of combining the power of several classifiers is of great importance to various applications. In many remote-sensing, pattern recognition, and multimedia applications, it is not uncommon for different channels or sensors to facilitate the recognition of an object. In addition, for many applications with very high-dimensional feature data, fusion of multiple modalities provides some computational relief by dividing feature vectors into several lower-dimensional ...