Biometric Authentication: A Machine Learning Approach

10.2. Sensor Fusion for Biometrics

Sensor fusion is an information processing technique (see [66, 125]) through which information produced by several sources can be optimally combined. The human brain is a good example of a complex, multisensor fusion system; it receives five different signals—sight, hearing, taste, smell, and touch—from five different sensors: eyes, ears, tongue, nose, and skin. Typically, it fuses signals from these sensors for decision making and motor control. The human brain also fuses signals at different levels for different purposes. For example, humans recognize objects by both seeing and touching them; humans also communicate by watching the speaker's face and listening to his or her voice at the same time. All of these ...