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

Facial recognition is one of the most natural biometrics available. When we see a face, our brains perform complex processing to take the image and make sense of what we are seeing.

In this chapter, we learned about the evolution of FRT, from the early beginnings in the 1960s, to advances in technology and algorithms in the 1980s, to the present day. By now, you can understand that, although the face is an optimal biometric, obtaining an image of the face to use in a facial recognition process can be challenging. We covered the differences in capturing a 2D image versus a 3D image, and how a 3D image can provide depth and provide a more life-like image. Even still, shadows, alterations in pose, and variations in color can negatively affect the recognition rate.

We then examined the process of facial recognition, from extracting the features, to localizing the face, and then identifying the features. We then saw the importance of using AI to make a correct decision. Finally...