By Michael E. Schuckers
Compensating for this want, this designated text/reference offers a easy statistical method for practitioners and testers of bioauthentication units, providing a suite of rigorous statistical equipment for comparing biometric authentication structures. This framework of equipment may be prolonged and generalized for quite a lot of functions and tests.
This is the 1st unmarried source on statistical tools for estimation and comparability of the functionality of biometric authentication structures. The booklet specializes in six universal functionality metrics: for every metric, statistical tools are derived for a unmarried method that includes self assurance periods, speculation checks, pattern dimension calculations, energy calculations and prediction periods. those tools also are prolonged to permit for the statistical comparability and evaluate of a number of platforms for either self reliant and matched data.
Topics and features:
* offers a statistical method for the most typical biometric functionality metrics: failure to sign up (FTE), failure to procure (FTA), fake non-match fee (FNMR), fake fit fee (FMR), and receiver working attribute (ROC) curves
* offers tools for the comparability of 2 or extra biometric functionality metrics
* Introduces a brand new bootstrap method for FMR and ROC curve estimation
* offers greater than a hundred and twenty examples, utilizing publicly to be had biometric information the place possible
* Discusses the addition of prediction durations to the bioauthentication statistical toolset
* Describes sample-size and tool calculations for FTE, FTA, FNMR and FMR
Researchers, managers and judgements makers desiring to check biometric platforms throughout a number of 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 history, readers also are anticipated to appreciate the themes in a regular undergraduate facts course.
Dr. Michael E. Schuckers is affiliate Professor of facts at St. Lawrence collage, Canton, manhattan, and a member of the heart for identity know-how Research.
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Computational Methods in Biometric Authentication: Statistical Methods for Performance Evaluation (Information Science and Statistics) by Michael E. Schuckers