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

What this book covers

Chapter 1, Exploring Biometric Technology, covers the concept of biometrics and the methods available to provide identification and authentication. We'll compare physiological versus behavioral biometrics, and examine common biometrics such as fingerprint, facial, iris, and voice recognition.

Chapter 2, Biometrics and Mobile Devices, teaches you the real-world applications of biometrics in mobile devices. This chapter covers the various biometric methods used in Fintech, such as voice and facial recognition, to enable authentication and payment processing.

Chapter 3, Recognizing Biometric Characteristics, outlines the desired qualities of a biometric, including uniqueness, performance, distinctiveness, and permanence, and reviews the general operation of biometric technology in various environments.

Chapter 4, Comparing Advantages and Modalities, explains the many types of biometric systems, along with their advantages/disadvantages. It describes the different types of biometrics systems, system errors, multimodal usage, and practical examples of different applications.

Chapter 5, Implementing Fingerprint Technology, provides a basic understanding of the evolution of fingerprint technology. We'll cover feature extraction and minutiae along with the different types of fingerprint systems in use today.

Chapter 6, Using Facial Recognition, provides an overview of the process of acquiring facial images using two-dimensional (2D) and three-dimensional (3D) sensors, and covers how systems extract the features along with how facial recognition is used today.

Chapter 7, Learning Iris Recognition, outlines the unique nature of the iris along with the structure of the eye. We'll step through capturing and sensing iris images, to matching templates and preventing spoofing, and will examine some of the applications for iris recognition.

Chapter 8, Using Voice Recognition, first reviews the evolution of two related technologies: voice recognition and speech recognition. We'll then step through the process of enrolling and matching and discuss the various ways we can use voice recognition.

Chapter 9, Considering Alternate Biometrics, outlines several lesser-known biometrics such as gait recognition and deoxyribonucleic acid (DNA). We'll cover an overview of keyboard dynamics and signature verification, along with using tattoos, scars, and ear biometrics.

Chapter 10, Selecting the Right Biometric, begins with an overview of the System Development Life Cycle and the requirements process for a biometric system. We'll also cover the factors that need to be considered when selecting a system, including usability, accuracy, speed, and efficiency.

Chapter 11, Integrating the Biometric System, moves through network and implementation considerations, compression methods, and securing biometric data, along with business continuity, disaster recovery, and integrating with the directory.

Chapter 12, Testing and System Deployment, stresses the importance of testing the system, and some of the tasks that the team will need to complete prior to deployment, such as providing education and awareness, enrolling the users, and tuning the decision process.

Chapter 13, Discovering Practical Biometric Applications, covers the use of biometrics in law enforcement and forensics. You'll see how we can use biometrics for large venues; to control access to assets, buildings, and systems; and some other novel uses of biometrics.

Chapter 14, Addressing Privacy Concerns, compares privacy laws in the US and Europe, and covers biometrics and the US' Fifth Amendment. We'll see the importance of biometric standards, and take a glimpse into the future of biometrics.