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.
Using age to enhance performance in biometrics, Page 1 of 2
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