Handbook of Remote Biometrics

for Surveillance and Security

  • Massimo Tistarelli
  • Stan Z. Li
  • Rama Chellappa

Part of the Advances in Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Advances in Remote Biometrics

    1. Front Matter
      Pages 1-1
    2. Stan Z. Li, Ben Schouten, Massimo Tistarelli
      Pages 3-21
    3. James R. Matey, Lauren R. Kennell
      Pages 23-59
    4. Richard D. Seely, Michela Goffredo, John N. Carter, Mark S. Nixon
      Pages 61-81
    5. Giuseppe Parziale, Yi Chen
      Pages 83-109
    6. Alice O’Toole, Massimo Tistarelli
      Pages 111-153
    7. Meng Ao, Dong Yi, Zhen Lei, Stan Z. Li
      Pages 155-167
    8. Terrance E. Boult, Walter Scheirer
      Pages 169-192
    9. Rama Chellappa, Manuele Bicego, Pavan Turaga
      Pages 193-216
    10. Berk Gökberk, Albert Ali Salah, Neşe Alyüz, Lale Akarun
      Pages 217-246
    11. Francesca Odone, Massimiliano Pontil, Alessandro Verri
      Pages 247-271
    12. Emilio Mordini
      Pages 293-309
  3. Selected Contributions from Students of the International Summer School on Biometrics

    1. Front Matter
      Pages 311-311
    2. Rubén Vera Rodríguez, John S.D. Mason, Nicholas W.D. Evans
      Pages 313-327
    3. Nick Bartlow, Bojan Cukic
      Pages 329-347
    4. Surinder Ram, Horst Bischof, Josef Birchbauer
      Pages 349-362
    5. Gualberto Aguilar, Gabriel Sánchez, Karina Toscano, Héctor Pérez
      Pages 363-374
  4. Back Matter
    Pages 375-381

About this book


The study of biometrics aims to understand the uniqueness of human physical characteristics, and to develop biometric identification technologies. Remote biometrics address the most challenging problem of biometrics, that of identifying individuals in a watch list from a distance.

From a computing point of view, this is a complex task requiring four issues to be solved. First, the system must be able to recognize individual subjects with minimum errors. Second, this must be able to operate at a distance of up to 50 meters. Third, it must be able to deal with subjects in motion. Finally, the system must function when the subjects are unaware of being observed. Other issues include allowing countermeasures to be made against attacks or providing intelligence for security intervention. No currently commercial system is able to satisfy all of these requirements, and none are error-free.

This comprehensive and innovative handbook covers several aspects of biometrics from the perspective of recognizing individuals at a distance, in motion, and under a surveillance scenario. The book presents both a broad coverage and an in-depth investigation into the most advanced biometric technologies for recognition at a distance, with applications in areas such as border control, surveillance in critical infrastructures, and ambient intelligence.


• Starts with a thorough introductory chapter

• Provides topics from a range of different perspectives offered by an international collection of leading researchers in the field

• Contains selected expanded contributions from the 5th IAPR International Summer School for Advanced Studies on Biometrics for Secure Authentication

• Investigates issues of iris recognition, gait recognition, and touchless fingerprint recognition, as well as various aspects of face recognition

• Discusses multibiometric systems, and machine learning techniques

• Examines biometrics ethics and policy

• Presents international standards in biometrics, including those under preparation

This state-of-the-art volume is designed to help form and inform professionals, young researchers, and graduate students in advanced biometric technologies. This indispensible reference draws from the expertise of internationally regarded experts in the field, as well as from the finest presentations of the 5th International Summer School on Biometrics.

Dr. Massimo Tistarelli is Professor of Computer Science at the Department of Architecture and Planning at the University of Sassari, Italy.

Dr. Stan Z. Li is Professor of the Chinese Academy of Sciences and the Director of the Center for Biometrics and Security Research, at the Institute of Automation, Beijing, China.

Dr. Rama Chellappa is the Minta Martin Professor of Engineering and Director of the Center for Automation Research at the University of Maryland, USA.

Key topics:

• Iris Recognition at a Distance

• Gait Recognition

• Touchless Fingerprint Recognition

• Face Recognition at a Distance

• Multibiometric Systems

• Biometrics Ethics and Policy


3D algorithms biometrics fingerprint fingerprint recognition learning machine learning verification

Editors and affiliations

  • Massimo Tistarelli
    • 1
  • Stan Z. Li
    • 2
  • Rama Chellappa
    • 3
  1. 1.Universitá of Sassari, Dipto. Architettura e Pianificazione07041 Alghero SSItaly
  2. 2.Chinese Academy of Science Institute of Automation, Center Biometrics Research & SecurityChina
  3. 3.University of Maryland, Center for Automation ResearchCollege ParkUSA

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