An Introduction to Biometric Data Analysis

Biometrics is a fascinating field. What other area of science or engineering combines aspects of biology, statistics, forensics, human behavior, design, privacy and security - and also spans everything from the simple door lock to huge government systems? This diversity is compounded by the wide biological and behavioral variation in people, making it an intriguing challenge to evaluate, configure and operate a biometric installation. However, regardless of the biometric type, the fundamentals of how match decisions are made are common to all biometrics. These unifying features allow an introduction and discussion of biometrics through a common framework.

This chapter provides a snapshot of biometric systems and analysis techniques. It previews the contents of the rest of the book, providing a concise introduction to all the main topics. The goals of this chapter are to:
  • Introduce the history of biometric science (Sect. 1.2).

  • Discuss how biometrics fit into an identity management framework (Sect. 1.3).

  • Discuss desirable aspects to consider when choosing a biometric (Sect. 1.4).

  • List the components and forms of biometric data (Sect. 1.5).

  • Provide an overview of biometric systems (Sect. 1.6).

  • Give high level descriptions of the major biometric graphs (Sect. 1.7).

  • Introduce aspects of biometric privacy (Sect. 1.8).


Face Recognition Biometric Data Biometric System Iris Recognition False Match 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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