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Springer - Computational Methods in Biometric Authentication

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Description

As biometric authentication becomes a standard for securing bank accounts, military installations, and amusement parks, the need for accurate evaluation methods grows. This text from Springer addresses the gap between biometric technology development and the statistical methods used to test them. Computational Methods in Biometric Authentication provides a foundational statistical methodology designed for practitioners and testers. It focuses on the science of using physical traits to identify individuals, offering a structured approach to performance evaluation. This resource is essential for those working in security-conscious environments who require reliable ways to measure the effectiveness of bioauthentication systems. By applying these statistical methods, professionals can better understand and improve the reliability of the systems used to protect sensitive data and physical locations globally. This book serves as a specialized reference for the information science and statistics community.

Key Features

Provides a basic statistical methodology specifically designed for practitioners and testers in the biometric field.

Addresses the growing need for improved evaluation methods in biometric authentication and bioauthentication systems.

Explores the science of using physical traits to identify individuals within a security-conscious global society.

Offers a technical reference for evaluating systems used in military, banking, and public security applications.

Part of the Information Science and Statistics series by Springer for specialized academic and professional use.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 June 2010
Listed Since
17 February 2010

Barcode

No barcode data available

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