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

Summary

In addition to the commonly known biometrics, such as iris or fingerprint recognition, we can now see that each person has many other unique identifiers. In this chapter, we learned how several elements of a hand, such as the palm and hand geometry, can be used to provide identification. We then saw how palm vein recognition can provide a more robust, contactless biometric that can be used in a variety of applications.

By now, you can see how gait recognition can assist in identifying someone, even if we can’t see their face. As a result, gait recognition can be used as a passive biometric that is optimal in large venues such as malls as a tool for threat management.

We then saw how using two biometrics, DNA and retinal scans, are strong methods to identify someone when security is imperative. In addition, you can now appreciate how using keystroke dynamics and signature verification can complement a PIN or password when interacting online. Finally, we saw how...