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

Chapter 6: Using Facial Recognition

When we look at someone’s face, we quickly scan their features, and see the circles, lines, and shadows that make up a person’s unique attributes. In addition, many of us tune into microexpressions, which are the subtle movements that help indicate the mood someone is currently experiencing. Because of this rich source of information, facial recognition technology (FRT) has proven to be an optimal biometric identifier. Each face has many areas that can be measured, such as the width of the face, the space from pupil to pupil, and the distance between the forehead and the chin.

So that you have a better understanding of the many variables involved, this chapter will outline what features are measured during facial recognition. We’ll take a look at how systems can acquire a facial image using two-dimensional (2D) and three-dimensional (3D) sensors, and see how modern systems can now detect emotion. You’ll recognize how...