Multimodal Systems


Multimodal biometrics refers to the use of more than one source of information for biometric recognition [8, 9]. For example, a multimodal biometric system may use both iris recognition and fingerprint recognition to confirm the identity of a user. The use of multiple information sources helps to address some of the problems faced by real-world unimodal (also known as monomodal) systems, and multimodal biometrics will likely become increasingly common in future biometric deployments.

This chapter gives a brief, high-level introduction to the field of multimodal biometrics. The goals are to:
  • Motivate the use of multimodal systems by outlining the primary advantages they offer over traditional systems (Sect. 4.1).

  • Present the different approaches and modes of operation for multimodal systems (Sect. 4.2).

  • Discuss information fusion and score combination (Sect. 4.3).

  • Outline methods for the evaluation of multimodal systems (Sect. 4.4).


Level Fusion Biometric System Combination Technique Iris Recognition False Match 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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