3D Biometrics

Systems and Applications

  • David Zhang
  • Guangming Lu

Table of contents

  1. Front Matter
    Pages i-xii
  2. Background of 3D Biometrics

    1. Front Matter
      Pages 1-1
    2. David Zhang, Guangming Lu
      Pages 3-17
    3. David Zhang, Guangming Lu
      Pages 19-33
  3. 3D Ear Recognition Based on Line Structured Light

    1. Front Matter
      Pages 35-35
    2. David Zhang, Guangming Lu
      Pages 37-50
    3. David Zhang, Guangming Lu
      Pages 51-68
    4. David Zhang, Guangming Lu
      Pages 69-81
  4. 3D Palmprint Authentication Using Modulated Structured Light

    1. Front Matter
      Pages 83-83
    2. David Zhang, Guangming Lu
      Pages 85-104
    3. David Zhang, Guangming Lu
      Pages 105-133
    4. David Zhang, Guangming Lu
      Pages 135-152
    5. David Zhang, Guangming Lu
      Pages 153-167
  5. 3D Fingerprint Identification by Multi-View Approach

    1. Front Matter
      Pages 169-169
    2. David Zhang, Guangming Lu
      Pages 171-194
    3. David Zhang, Guangming Lu
      Pages 195-216
    4. David Zhang, Guangming Lu
      Pages 217-230
  6. 3D Face Verification by Tof Method

    1. Front Matter
      Pages 231-231
    2. David Zhang, Guangming Lu
      Pages 233-256
    3. David Zhang, Guangming Lu
      Pages 257-278

About this book

Introduction

Automatic personal authentication using biometric information is becoming more essential in applications of public security, access control, forensics, banking, etc. Many kinds of biometric authentication techniques have been developed based on different biometric characteristics. However, most of the physical biometric recognition techniques are based on two dimensional (2D) images, despite the fact that human characteristics are three dimensional (3D) surfaces. Recently, 3D techniques have been applied to biometric applications such as 3D face, 3D palmprint, 3D fingerprint, and 3D ear recognition. This book introduces four typical 3D imaging methods, and presents some case studies in the field of 3D biometrics. This book also includes many efficient 3D feature extraction, matching, and fusion algorithms. These 3D imaging methods and their applications are given as follows: - Single view imaging with line structured-light: 3D ear identification - Single view imaging with multi-line structured-light: 3D palmprint authentication - Single view imaging using only 3D camera: 3D hand verification - Multi-view imaging: 3D fingerprint recognition 3D Biometrics: Systems and Applications is a comprehensive introduction to both theoretical issues and practical implementation in 3D biometric authentication. It will serve as a textbook or as a useful reference for graduate students and researchers in the fields of computer science, electrical engineering, systems science, and information technology. Researchers and practitioners in industry and R&D laboratories working on security system design, biometrics, immigration, law enforcement, control, and pattern recognition will also find much of interest in this book.

Keywords

3D Biometric 3D Imaging Authentication Biometric Calibration Feature Extraction Fusion Multi-view Imaging Pattern Recognition Recognition Structured-lighting Imaging Verification

Authors and affiliations

  • David Zhang
    • 1
  • Guangming Lu
    • 2
  1. 1., Biometrics Research CentreThe Hong Kong Polytechnic UniversityHung HomHong Kong SAR
  2. 2., Shenzhen Graduate SchoolHarbin Institute of TechnologyShenzhenChina, People's Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-7400-5
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-7399-2
  • Online ISBN 978-1-4614-7400-5
  • About this book