Face Biometrics for Personal Identification

Multi-Sensory Multi-Modal Systems

  • Riad I. Hammoud
  • Besma R. Abidi
  • Mongi A. Abidi

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Introduction

    1. Lawrence B. Wolff
      Pages 1-6
  3. Space/Time Emerging Face Biometrics

    1. Front Matter
      Pages 8-8
    2. Narayanan Ramanathan, Rama Chellappa
      Pages 27-42
  4. Multi-Sensory Face Biometrics

    1. Front Matter
      Pages 74-74
    2. Ognjen Arandjelović, Riad Hammoud, Roberto Cipolla
      Pages 75-90
    3. Satyanadh Gundimada, Vijayan Asari
      Pages 109-120
  5. Multimodal Face Biometrics

    1. Front Matter
      Pages 122-122
    2. Timothy J. Hazen, Eugene Weinstein, Bernd Heisele, Alex Park, Ji Ming
      Pages 123-138
    3. Ioannis A. Kakadiaris, Georgios Passalis, George Toderici, Mohammed N. Murtuza, Theoharis Theoharis
      Pages 139-164
  6. Generic Approaches to Multibiometric Systems

    1. Front Matter
      Pages 184-184
    2. Arun Ross, Anil K. Jain
      Pages 185-212
    3. Natalia A. Schmid, Joseph A. O'Sullivan
      Pages 213-227
  7. Back Matter
    Pages 230-275

About this book


This book provides an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems. "Multi-sensory" refers to combining data from two or more biometric sensors, such as synchronized reflectance-based and temperature-based face images. "Multi-modal" biometrics means fusing two or more biometric modalities, like face images and voice timber. This practical reference contains four distinctive parts and a brief introduction chapter. The first part addresses new and emerging face biometrics. Emphasis is placed on biometric systems where single sensor and single modality are employed in challenging imaging conditions. The second part on multi-sensory face biometrics deals with the personal identification task in challenging variable illuminations and outdoor operating scenarios by employing visible and thermal sensors. The third part of the book focuses on multi-modal face biometrics by integrating voice, ear, and gait modalities with facial data. The last part presents generic chapters on multi-biometrics fusion methodologies and performance prediction techniques.


3D Fusion Methodologies Security Systems Thermal/Reflectance Signatures algorithm algorithms biometrics cognition filters fingerprint imaging information metrics performance temperature

Editors and affiliations

  • Riad I. Hammoud
    • 1
  • Besma R. Abidi
    • 2
  • Mongi A. Abidi
    • 3
  1. 1.Delphi Electronics & Safety World Head QuartersKokomoUSA
  2. 2.The University of TennesseeKnoxvilleUSA
  3. 3.The University of TennesseeKnoxvilleUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-49344-0
  • Online ISBN 978-3-540-49346-4
  • Series Print ISSN 1860-4862
  • Buy this book on publisher's site