By Michael E. Schuckers
Compensating for this want, this precise text/reference offers a simple statistical technique for practitioners and testers of bioauthentication units, providing a collection of rigorous statistical equipment for comparing biometric authentication platforms. This framework of tools may be prolonged and generalized for quite a lot of purposes and tests.
This is the 1st unmarried source on statistical tools for estimation and comparability of the functionality of biometric authentication structures. The publication makes a speciality of six universal functionality metrics: for every metric, statistical tools are derived for a unmarried process that comes with self assurance periods, speculation checks, pattern measurement calculations, energy calculations and prediction periods. those equipment also are prolonged to permit for the statistical comparability and evaluate of a number of structures for either self reliant and matched data.
Topics and features:
* offers a statistical method for the commonest biometric functionality metrics: failure to sign up (FTE), failure to procure (FTA), fake non-match cost (FNMR), fake fit price (FMR), and receiver working attribute (ROC) curves
* offers tools for the comparability of 2 or extra biometric functionality metrics
* Introduces a brand new bootstrap technique for FMR and ROC curve estimation
* provides greater than one hundred twenty examples, utilizing publicly on hand biometric info the place possible
* Discusses the addition of prediction periods to the bioauthentication statistical toolset
* Describes sample-size and gear calculations for FTE, FTA, FNMR and FMR
Researchers, managers and judgements makers wanting to check biometric structures throughout numerous metrics will locate inside this reference a useful set of statistical instruments. Written for an upper-level undergraduate or master’s point viewers with a quantitative historical past, readers also are anticipated to realize the themes in a customary undergraduate facts course.
Dr. Michael E. Schuckers is affiliate Professor of information at St. Lawrence collage, Canton, new york, and a member of the heart for id expertise Research.
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