3D Biometrics

1. Front Matter

   Pages i-xii

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2. Background of 3D Biometrics

   1. Front Matter

      Pages 1-1

      PDF

   2. Overview

      • David Zhang, Guangming Lu

      Pages 3-17

   3. 3D Biometrics Technologies and Systems

      • David Zhang, Guangming Lu

      Pages 19-33

3. 3D Ear Recognition Based on Line Structured Light

   1. Front Matter

      Pages 35-35

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   2. 3D Ear Acquisition System

      • David Zhang, Guangming Lu

      Pages 37-50

   3. Two Significant Characteristics in 3D Ear

      • David Zhang, Guangming Lu

      Pages 51-68

   4. 3D Ear Feature Extraction and Recognition

      • David Zhang, Guangming Lu

      Pages 69-81

4. 3D Palmprint Authentication Using Modulated Structured Light

   1. Front Matter

      Pages 83-83

      PDF

   2. 3D Palmprint Capturing System

      • David Zhang, Guangming Lu

      Pages 85-104

   3. 3D Information in Palmprint

      • David Zhang, Guangming Lu

      Pages 105-133

   4. 3D Palmprint Classification by Global Features

      • David Zhang, Guangming Lu

      Pages 135-152

   5. Joint Line and Orientation Features in 3D Palmprint

      • David Zhang, Guangming Lu

      Pages 153-167

5. 3D Fingerprint Identification by Multi-View Approach

   1. Front Matter

      Pages 169-169

      PDF

   2. 3D Fingerprint Acquisition Device

      • David Zhang, Guangming Lu

      Pages 171-194

   3. 3D Fingerprint Reconstruction

      • David Zhang, Guangming Lu

      Pages 195-216

   4. 3D Fingerprint Identification System

      • David Zhang, Guangming Lu

      Pages 217-230

6. 3D Face Verification by Tof Method

   1. Front Matter

      Pages 231-231

      PDF

   2. The Principle of 3D Camera Imaging

      • David Zhang, Guangming Lu

      Pages 233-256

   3. 3D Face Verification System

      • David Zhang, Guangming Lu

      Pages 257-278

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.

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

From the reviews:

“The authors start with an overview of biometrics, covering the basics and exploring why biometrics is becoming part of our daily lives. … I found this to be a very good, extensive discussion on implementation details, and would recommend to anyone implementing a biometric system in their work.” (Mariam Kiran, Computing Reviews, November, 2013)

• , Biometrics Research Centre, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR

  David Zhang

• , Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China, People's Republic

  Guangming Lu

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