© 2016

Face Recognition Across the Imaging Spectrum

  • Thirimachos Bourlai

Table of contents

  1. Front Matter
    Pages i-xii
  2. J. M. Dawson, S. C. Leffel, C. Whitelam, T. Bourlai
    Pages 21-46
  3. Woon Cho, Andreas Koschan, Mongi A. Abidi
    Pages 47-68
  4. Shuowen Hu, Nathaniel J. Short, Prudhvi K. Gurram, Kristan P. Gurton, Christopher Reale
    Pages 69-90
  5. Zhicheng Cao, Natalia A. Schmid, Thirimachos Bourlai
    Pages 91-115
  6. Janhavi Agrawal, Aishwarya Pant, Tejas I. Dhamecha, Richa Singh, Mayank Vatsa
    Pages 139-163
  7. Ivana Chingovska, Nesli Erdogmus, André Anjos, Sébastien Marcel
    Pages 165-194
  8. Matteo Ferrara, Annalisa Franco, Davide Maltoni
    Pages 195-222
  9. A. D. Clark, C. Whitelam, T. Bourlai
    Pages 223-245
  10. Manuel Günther, Laurent El Shafey, Sébastien Marcel
    Pages 247-280
  11. Gaurav Goswami, Mayank Vatsa, Richa Singh
    Pages 281-303
  12. M. Tistarelli, M. Cadoni, A. Lagorio, E. Grosso
    Pages 305-331
  13. Panagiotis Moutafis, Ioannis A. Kakadiaris
    Pages 333-353
  14. Simona G. Crihalmeanu, Arun A. Ross
    Pages 355-380
  15. Back Matter
    Pages 381-383

About this book


This authoritative text/reference presents a comprehensive review of algorithms and techniques for face recognition (FR), with an emphasis on systems that can be reliably used in operational environments. Insights are provided by an international team of pre-eminent experts into the processing of multispectral and hyperspectral face images captured under uncontrolled environments. These discussions cover a variety of imaging sensors ranging from state-of-the-art visible and infrared imaging sensors, to RGB-D and mobile phone image sensors. A range of different biometric modalities are also examined, including face, periocular and iris.

Topics and features:

  • Presents a detailed introduction to the spectral imaging of human skin, and describes the data collection of multispectral and hyperspectral face images
  • Covers a range of face-based identification technologies addressing challenges in the processing of face images in visible and infrared spectral bands
  • Provides an overview of spoofing attacks and counter-measures for FR systems, and analyzes the effects of digital image alterations on FR algorithms
  • Investigates the processing of degraded face photographs from ID documents, and examines mobile FR in still images and video sequences
  • Proposes a state-of-the-art RGB-D FR algorithm, and suggests algorithms for 3D-based FR as well as techniques blending 2D and 3D data
  • Discusses score normalization methods, and explores the use of patterns in the sclera in order to improve the robustness of iris recognition systems

This timely volume is a mine of useful information for researchers, practitioners and students involved in image processing, computer vision, biometrics and security.

Dr. Thirimachos Bourlai is an Assistant Professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University, Morgantown, WV, USA.


Biometrics Face Recognition Forensics Human Identification Multi-Spectral Imaging

Editors and affiliations

  • Thirimachos Bourlai
    • 1
  1. 1.Multispectral Imagery Lab—MILab, LCSEEWest Virginia UniversityMORGANTOWNUSA

Bibliographic information

  • Book Title Face Recognition Across the Imaging Spectrum
  • Editors Thirimachos Bourlai
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Hardcover ISBN 978-3-319-28499-6
  • Softcover ISBN 978-3-319-80365-4
  • eBook ISBN 978-3-319-28501-6
  • Edition Number 1
  • Number of Pages XII, 383
  • Number of Illustrations 162 b/w illustrations, 34 illustrations in colour
  • Topics Biometrics
    Forensic Science
    Pattern Recognition
  • Buy this book on publisher's site