However, the ability to resample to control quality of the enrollment sample will depend upon both system function and policy. ![]() ![]() If sample quality is inadequate to create a reference likely to be correctly matched in future comparisons, the biometric characteristic might be resampled until adequate quality is obtained. ![]() Ensuring that the reference format generated by function C conforms to pertinent standards such as those issued by ANSI or ISO 3 would aid data interoperability between systems or within an evolving system over time. The system, functions D and F might also be performed against previously stored references to detect attempts at duplicate enrollment. A brief discussion of test and evaluation concludes the chapter. It then turns to the application requirements of biometric systems, including application parameters that can affect system performance. This chapter starts with an overview of biometric system operations. Technology-driven implementations could inadvertently target a secondary rather than a primary objective and fail to anticipate mission-critical aspects of the context in which this human-centric technology is applied, including sources of challenges to the system. Successful biometric applications require top-down conceptualization, with clear delineation of purpose within a systems context. These include:Ī clear understanding of the system’s functional objectives, including the user population and environmental constraints of the system’s deployment context.Ī model for accommodating the evolution of technology over time.Īn understanding of the effectiveness of the system through frequent or continuous operational testing.Ī model for validating the financial value of the system over time.Ī strong understanding of the human interactions with the system and how they change with time.Ī holistic security model that addresses the application security context and provides a cogent analysis of the potential for fraudulent presentation of biometric samples. While the evolution of sensor devices, matching technologies, and human factors can dominate the attention of system designers, the ultimate success of the overall system generally relies on attention to conventional system development issues. Biometric systems are best considered in their deployment context, including all their particularities such as function, environment, and user population.Ī systems engineering view is especially important when the systems are to be used on a large scale, such as for border control or social service entitlement, when all the best practices associated with system design and management are called for. A holistic view that accounts for human interaction, and not simply the combination of sensors and matchers, is needed. The scope of a biometric system is broad and includes not only basic operations such as enrollment or matching but also user training and the adjudication process for dealing with contested results and exception handling in general. ![]() Moreover, while design, engineering and development of component parts of the systems are important, it is the development of a biometric system as a whole that is most critical to successful system deployment. Of equal importance is the engineering of these systems. The preceding chapter described many of the fundamental concepts that underlie biometric systems.
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