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Automated Biometrics

Technologies and Systems

  • Book
  • © 2000

Overview

Authors:
  1. David D. Zhang

    1. Hong Kong Polytechnic University, Hong Kong

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction to Biometrics

    1. Introduction to Biometrics

      • David D. Zhang
      Pages 1-21

  3. Biometrics Technologies

    1. Human Body and Biometrics

      • David D. Zhang
      Pages 23-42

    2. Signal and Image Processing

      • David D. Zhang
      Pages 43-62

    3. Pattern Recognition

      • David D. Zhang
      Pages 63-85

  4. Physical Biometrics

    1. Fingerprint System

      • David D. Zhang
      Pages 87-109

    2. Palmprint Verification

      • David D. Zhang
      Pages 111-135

    3. Face Recognition

      • David D. Zhang
      Pages 137-158

    4. Iris Biometrics

      • David D. Zhang
      Pages 159-178

  5. Behavioral Biometrics

    1. Speaker Recognition

      • David D. Zhang
      Pages 179-201

    2. Signature System

      • David D. Zhang
      Pages 203-226

    3. Other Behavioral Biometrics

      • David D. Zhang
      Pages 227-241

  6. Biometrics Applications

    1. Biometrics User Interfaces

      • David D. Zhang
      Pages 243-267

    2. Personal Authentication

      • David D. Zhang
      Pages 269-288

    3. Biometrics Chinese Medicine

      • David D. Zhang
      Pages 289-311

    4. Future Work in Biometrics

      • David D. Zhang
      Pages 313-325

  7. Back Matter

    Pages 327-331
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Keywords

About this book

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.

Authors and Affiliations

  • Hong Kong Polytechnic University, Hong Kong

    David D. Zhang

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