Biometric Recognition: Challenges and Opportunities by Whither Biometrics Committee, National Research Council

By Whither Biometrics Committee, National Research Council

Biometric recognition--the computerized popularity of people according to their behavioral and organic characteristic--is promoted in order to support determine terrorists, supply greater keep an eye on of entry to actual amenities and monetary money owed, and elevate the potency of entry to prone and their usage. Biometric acceptance has been utilized to identity of criminals, sufferer monitoring in scientific informatics, and the personalization of social companies, between different issues. regardless of great attempt, in spite of the fact that, there stay unresolved questions on the effectiveness and administration of structures for biometric popularity, in addition to the appropriateness and societal impression in their use. additionally, most people has been uncovered to biometrics mostly as high-technology contraptions in undercover agent thrillers or as fear-instilling tools of country or company surveillance in speculative fiction. Now, as biometric applied sciences look poised for broader use, elevated matters approximately nationwide protection and the monitoring of people as they move borders have brought on passports, visas, and border-crossing files to be associated with biometric facts. a spotlight on struggling with insurgencies and terrorism has ended in the army deployment of biometric instruments to let popularity of people as good friend or foe. Commercially, finger-imaging sensors, whose price and actual dimension were diminished, now seem on many desktop own desktops, hand-held units, cell phones, and different purchaser units. Biometric popularity: demanding situations and possibilities addresses the problems surrounding broader implementation of this expertise, making details: first, biometric reputation platforms are quite advanced, and wish to be addressed as such. moment, biometric reputation is an inherently probabilistic exercise. accordingly, even if the know-how and the approach within which it really is embedded are behaving as designed, there's inevitable uncertainty and probability of blunders. This publication elaborates on those subject matters intimately to supply coverage makers, builders, and researchers a finished overview of biometric acceptance that examines present features, destiny probabilities, and the position of presidency in know-how and procedure development.--Publisher's description.

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Extra resources for Biometric Recognition: Challenges and Opportunities

Sample text

The report Who Goes There? Authentication Through the Lens of Privacy,1 focused on the intersection of privacy and authentication systems, including biometrics. Much of that analysis remains relevant to current biometric systems, and this report does not have much to add on privacy other than exploring some of the social and cultural implications of biometric systems (see Chapter 4). This reliance on an earlier report does not suggest that privacy is unimportant. Rather, the committee believes that no system can be effective without considerable attention to the social and cultural context within which it is embedded.

The engineering of multibiometric systems presents challenges as does their evaluation. There are issues related to the architecture and operation of multibiometrics systems and questions about how best to model such systems and then use the model to drive operational aspects. Understanding statistical dependencies is also important when using multibiometrics. For example, Are the modalities of hand geometry and fingerprints completely independent—beyond, say, the trivial correlation between a missing hand and the failure to acquire fingerprints?

Bolle, and S. : Kluwer Academic Press (1999). The National Science and Technology Council also recently Copyright © National Academy of Sciences. All rights reserved. Biometric Recognition: Challenges and Opportunities INTRODUCTION AND FUNDAMENTAL CONCEPTS 25 (2) uncertainty in biometric systems and modalities, including multibiometric approaches. 1.  This diagram presents a very simplified view of the overall system. The operational efficacy of a biometric system depends not only on its technical components—the biometric sample capture devices (sensors) and the mathematical algorithms that create and compare references—but also on the end-to-end application design, the environment in which the biometric sensor operates, and any conditions that impact the behavior of the data subjects, that is, persons with the potential to be sensed.

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