Biometric Thesis

Biometric Thesis-62
But as these other agendas demonstrate, there are numerous opportunities for deeper understanding of these systems at almost every level. Very little research in this area has been conducted, and there is opportunity for significant progress.

But as these other agendas demonstrate, there are numerous opportunities for deeper understanding of these systems at almost every level. Very little research in this area has been conducted, and there is opportunity for significant progress.This section lays out several technical and engineering areas the committee believes would benefit from sustained research and further investigation: human factors, understanding the underlying phenomena, modality-related technical challenges, opportunities to advance testing and evaluation, statistical engineering aspects, and issues of scale. Wolfson, Usability and biometrics: Assuring successful biometric systems, NIST Information Access Division (2008); M. There are many open questions about the distinctiveness of the underlying biometric traits in these systems and about human distinctiveness generally.

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There are also open questions about the stability of the underlying traits—how persistent (stable) will a given individual’s biometric traits be over time?

Some biometric traits, such as fingerprints, appear to be reasonably stable, but others, such as facial characteristics, can change significantly over even short periods of time.

In fact, many biometric systems have been successfully deployed.

For example, hand geometry systems serve to control access to, among others, university dorms, nuclear power plants, and factories, where they record time and location.

All of this suggests several avenues of research that could strengthen the scientific underpinnings of the technology.

There needs to be empirical analysis of base-level distinctiveness and the stability of common biometric modalities, both absolutely and under common conditions of capture, and research into what types of capture and what models and algorithms produce the most distinguishable and stable references for given modalities.If there is a pressing public need for these applications, and if it is determined that biometric systems and technologies are the most appropriate way to implement them, then our understanding of the underlying science and technology must be robust enough to support the applications. (The committee was told about one system that presented an image that, when viewed from the proper angle, was clearly visible to the user.) Similar challenges exist with every modality/application combination and will require a modality- and application-specific set of solutions.The rest of this chapter outlines a research agenda focusing on (1) technical and engineering considerations, (2) social challenges, and (3) broader public policy considerations. Orandi, Assessing face acquisition, NISTIR 7540, Information Access Division Information Technology Laboratory (2008); and M. “Quality” has been used to indicate data collected in compliance with the assumptions of the matching algorithms, such that recognition performance of the algorithm can be maximized, which means that “affordance” and data “quality” are tightly linked.Every biometric system relies on one or more biometric modalities.The choice of modality is a key driver of how the system is architected, how it is presented to the user, and how match vs. Understanding particular modalities and how best to use the modalities is critical to overall system effectiveness.The first four chapters of this report explain much about biometric systems and applications and describe many of the technical, engineering, scientific, and social challenges facing the field.This chapter covers some of the unsolved fundamental problems and research opportunities related to biometric systems, without, however, suggesting that existing systems are not useful or effective.Automated fingerprint identification systems (AFISs) integrate automatic and manual processes in criminal justice applications and civilian applications such as national identity systems.An emerging technology such as biometrics typically confronts unrealistic performance expectations and is sometimes unfairly compared with approaches such as passwords that are not really alternatives.An effective biometric solution does not have to be—nor can it be—100 percent accurate or secure.For example, if there exists a 1 percent possibility of successful “buddy punching” (signing in for a friend or colleague), a hand geometry system can easily be seen as preventing 99 percent of such Proceedings of the 18th International Conference on Pattern Recognition, Cambridge, England (2004). A particular application demands not perfection but satisfactory performance justifying the additional investments needed for the biometric system.


Comments Biometric Thesis

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