Book Image

Identity Management with Biometrics

By : Lisa Bock
Book Image

Identity Management with Biometrics

By: Lisa Bock

Overview of this book

Biometric technologies provide a variety of robust and convenient methods to securely identify and authenticate an individual. Unlike a password or smart card, biometrics can identify an attribute that is not only unique to an individual, but also eliminates any possibility of duplication. Identity Management with Biometrics is a solid introduction for anyone who wants to explore biometric techniques, such as fingerprint, iris, voice, palm print, and facial recognition. Starting with an overview of biometrics, you’ll learn the various uses and applications of biometrics in fintech, buildings, border control, and many other fields. You’ll understand the characteristics of an optimal biometric system and then review different types of errors and discover the benefits of multi-factor authentication. You’ll also get to grips with analyzing a biometric system for usability and accuracy and understand the process of implementation, testing, and deployment, along with addressing privacy concerns. The book outlines the importance of protecting biometric data by using encryption and shows you which factors to consider and how to analyze them before investing in biometric technologies. By the end of this book, you’ll be well-versed with a variety of recognition processes and be able to make the right decisions when implementing biometric technologies.
Table of Contents (20 chapters)
1
Section 1 –Understanding Biometric Authentication
6
Section 2 – Applying Biometric Technologies
12
Section 3 – Deploying a Large-Scale Biometric System

Acquiring the facial image

More and more applications are turning to facial recognition to identify and authenticate an individual. Recent years have seen dramatic improvements in the technology, both in image capture and processing. As a result, facial recognition is slowly replacing other biometrics, such as fingerprint technology.

Facial recognition is used in a wide range of applications, from enforcing the law and providing access control to securing our borders. In order to be the most effective, it’s important to capture a high-quality image. During this process, there are several challenges to overcome, such as being able to handle non-face artifacts such as eye glasses and jewelry.

In the next section, we’ll focus on what steps are involved in capturing the facial image. Let’s start the discussion with evaluating 2D and 3D image capture.

Capturing images using 2D or 3D

In the past, there was mainly 2D, with limited 3D image capture available...