Automated Biometrics

Technologies and Systems

  • David D. Zhang

Table of contents

  1. Front Matter
    Pages i-xii
  2. Introduction to Biometrics

    1. David D. Zhang
      Pages 1-21
  3. Biometrics Technologies

    1. David D. Zhang
      Pages 23-42
    2. David D. Zhang
      Pages 43-62
    3. David D. Zhang
      Pages 63-85
  4. Physical Biometrics

    1. David D. Zhang
      Pages 87-109
    2. David D. Zhang
      Pages 111-135
    3. David D. Zhang
      Pages 137-158
    4. David D. Zhang
      Pages 159-178
  5. Behavioral Biometrics

    1. David D. Zhang
      Pages 179-201
    2. David D. Zhang
      Pages 203-226
    3. David D. Zhang
      Pages 227-241
  6. Biometrics Applications

    1. David D. Zhang
      Pages 243-267
    2. David D. Zhang
      Pages 269-288
    3. David D. Zhang
      Pages 289-311
    4. David D. Zhang
      Pages 313-325
  7. Back Matter
    Pages 327-331

About this book

Introduction

Biometrics-based authentication and identification are emerging as the most reliable method to authenticate and identify individuals. Biometrics requires that the person to be identified be physically present at the point-of-identification and relies on `something which you are or you do' to provide better security, increased efficiency, and improved accuracy. Automated biometrics deals with physiological or behavioral characteristics such as fingerprints, signature, palmprint, iris, hand, voice and face that can be used to authenticate a person's identity or establish an identity from a database. With rapid progress in electronic and Internet commerce, there is also a growing need to authenticate the identity of a person for secure transaction processing.
Designing an automated biometrics system to handle large population identification, accuracy and reliability of authentication are challenging tasks. Currently, there are over ten different biometrics systems that are either widely used or under development. Some automated biometrics, such as fingerprint identification and speaker verification, have received considerable attention over the past 25 years, and some issues like face recognition and iris-based authentication have been studied extensively resulting in successful development of biometrics systems in commercial applications. However, very few books are exclusively devoted to such issues of automated biometrics.
Automated Biometrics: Technologies and Systems systematically introduces the technologies and systems, and explores how to design the corresponding systems with in-depth discussion. The issues addressed in this book are highly relevant to many fundamental concerns of both researchers and practitioners of automated biometrics in computer and system security.

Keywords

Internet Processing biometrics classification computer data compression database fingerprint image processing information pattern recognition programming security technology verification

Authors and affiliations

  • David D. Zhang
    • 1
  1. 1.Hong Kong Polytechnic UniversityHong Kong

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-4519-4
  • Copyright Information Kluwer Academic Publishers 2000
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7038-3
  • Online ISBN 978-1-4615-4519-4
  • Series Print ISSN 1566-0710
  • About this book