| 書目名稱 | Computational Methods in Biometric Authentication |
| 副標題 | Statistical Methods |
| 編輯 | Michael E. Schuckers |
| 視頻video | http://file.papertrans.cn/233/232753/232753.mp4 |
| 概述 | The first single resource on statistical methods for estimation and comparison of the performance of biometric authentication systems.Supplies decision-makers with the tools needed to choose the appro |
| 叢書名稱 | Information Science and Statistics |
| 圖書封面 |  |
| 描述 | Biometrics, the science of using physical traits to identify individuals, is playing an increasing role in our security-conscious society and across the globe. Biometric authentication, or bioauthentication, systems are being used to secure everything from amusement parks to bank accounts to military installations.Yet developments in this field have not been matched by an equivalent improvement in the statistical methods for evaluating these systems.Compensating for this need, this unique text/reference provides a basic statistical methodology for practitioners and testers of bioauthentication devices, supplying a set of rigorous statistical methods for evaluating biometric authentication systems.This framework of methods can be extended and generalized for a wide range of applications and tests.This is the first single resource on statistical methods for estimation and comparison of the performance of biometric authentication systems. The book focuses on six common performance metrics: for each metric, statistical methods are derived for a single system that incorporates confidence intervals, hypothesis tests, sample size calculations, power calculations and prediction intervals. |
| 出版日期 | Book 2010 |
| 關(guān)鍵詞 | Radiologieinformationssystem; STATISTICA; biometrics; classification; statistics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-84996-202-5 |
| isbn_softcover | 978-1-4471-2566-2 |
| isbn_ebook | 978-1-84996-202-5Series ISSN 1613-9011 Series E-ISSN 2197-4128 |
| issn_series | 1613-9011 |
| copyright | Springer-Verlag London Limited 2010 |
|Archiver|手機版|小黑屋|
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