Computational Methods in Biometric Authentication: Statistical Methods for Performance Evaluation (Information Science and Statistics) Book PDF, ePub eBook

Join our eBook service for unlimited books & audiobooks. Get a free 7 day subscription! ↓↓↓↓↓


Book Descriptions:
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. These methods are also extended to allow for the statistical comparison and evaluation of multiple systems for both independent and paired data. Topics and features: * Provides a statistical methodology for the most common biometric performance metrics: failure to enroll (FTE), failure to acquire (FTA), false non-match rate (FNMR), false match rate (FMR), and receiver operating characteristic (ROC) curves * Presents methods for the comparison of two or more biometric performance metrics * Introduces a new bootstrap methodology for FMR and ROC curve estimation * Supplies more than 120 examples, using publicly available biometric data where possible * Discusses the addition of prediction intervals to the bioauthentication statistical toolset * Describes sample-size and power calculations for FTE, FTA, FNMR and FMR Researchers, managers and decisions makers needing to compare biometric systems across a variety of metrics will find within this reference an invaluable set of statistical tools. Written for an upper-level undergraduate or master’s level audience with a quantitative background, readers are also expected to have an understanding of the topics in a typical undergraduate statistics course. Dr. Michael E. Schuckers is Associate Professor of Statistics at St. Lawrence University, Canton, NY, and a member of the Center for Identification Technology Research.

Computational Methods in Biometric Authentication: Statistical Methods for Performance Evaluation (Information Science and Statistics) by Michael E. Schuckers

From reader reviews:

Richard Hennessy:

Information is provisions for folks to get better life, information today can get by anyone from everywhere. The information can be a understanding or any news even a concern. What people must be consider any time those information which is in the former life are difficult to be find than now is taking seriously which one would work to believe or which one the resource are convinced. If you receive the unstable resource then you get it as your main information you will see huge disadvantage for you. All of those possibilities will not happen within you if you take Computational Methods in Biometric Authentication: Statistical Methods for Performance Evaluation (Information Science and Statistics) as your daily resource information.

Ashley Downs:

Playing with family inside a park, coming to see the water world or hanging out with good friends is thing that usually you might have done when you have spare time, in that case why you don't try thing that really opposite from that. 1 activity that make you not experiencing tired but still relaxing, trilling like on roller coaster you are ride on and with addition details. Even you love Computational Methods in Biometric Authentication: Statistical Methods for Performance Evaluation (Information Science and Statistics), it is possible to enjoy both. It is great combination right, you still need to miss it? What kind of hang type is it? Oh seriously its mind hangout people. What? Still don't obtain it, oh come on its called reading friends.

Debra Ruff:

Do you one of the book lovers? If yes, do you ever feeling doubt when you are in the book store? Aim to pick one book that you find out the inside because don't judge book by its protect may doesn't work at this point is difficult job because you are scared that the inside maybe not while fantastic as in the outside search likes. Maybe you answer is usually Computational Methods in Biometric Authentication: Statistical Methods for Performance Evaluation (Information Science and Statistics) why because the excellent cover that make you consider about the content will not disappoint anyone. The inside or content is definitely fantastic as the outside or perhaps cover. Your reading 6th sense will directly direct you to pick up this book.

David Mathews:

You can find this Computational Methods in Biometric Authentication: Statistical Methods for Performance Evaluation (Information Science and Statistics) by browse the bookstore or Mall. Just simply viewing or reviewing it might to be your solve problem if you get difficulties for ones knowledge. Kinds of this guide are various. Not only by written or printed but can you enjoy this book simply by e-book. In the modern era similar to now, you just looking by your mobile phone and searching what your problem. Right now, choose your personal ways to get more information about your guide. It is most important to arrange you to ultimately make your knowledge are still up-date. Let's try to choose proper ways for you.