This chapter will discuss both the impact of the use of age information on overall performance, complexity and usability in the design of biometric-based systems as well as the predictive capabilities of biometric systems in relation to age. Furthermore, because of the nature of the data in this specific category (population data characteristics) and as a consequence of a lower level analysis, it is possible to point to more specific strategies both for potentially improving error-rate performance achievable in a biometric system while also increasing the flexibility with which specific implementation configurations can be designed, and for considering a range of solutions of different levels of complexity.

Chapter Contents:

• 4.1 Introduction
• 4.2 Fusion of relevant information
• 4.3 A brief survey of the literature
• 4.4 Representation of age information
• 4.5 System design using age information
• 4.5.1 Age as an extra input feature
• 4.5.2 Age as a tool for feature selection
• 4.5.3 Addition of age-prediction classifiers
• 4.5.4 Majority weighted vote-based fusion method
• 4.5.5 Weighted sum-based fusion method
• 4.5.6 Multiagent approach using age information
• 4.6 Experimental results and discussion
• 4.7 Conclusions
• References

Inspec keywords: biometrics (access control); age issues; authorisation

Other keywords: biometrics performance; biometric-based system design; age information; complexity level; population data characteristics; predictive capabilities; error-rate performance

Subjects: Data security; Economic, social and political aspects of computing