Handbook of Biometrics for Forensic Science

  • Massimo Tistarelli
  • Christophe Champod

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

Table of contents

  1. Front Matter
    Pages i-viii
  2. Christophe Champod, Massimo Tistarelli
    Pages 1-15
  3. Analysis of Fingerprints and Fingermarks

    1. Front Matter
      Pages 17-17
    2. Mario Hildebrandt, Jana Dittmann, Claus Vielhauer
      Pages 19-35
    3. Davide Maltoni, Raffaele Cappelli, Didier Meuwly
      Pages 37-61
    4. Martin Drahanský, Ondřej Kanich, Eva Březinová
      Pages 63-83
    5. John Ellingsgaard, Christoph Busch
      Pages 85-123
  4. Face and Video Analysis

    1. Front Matter
      Pages 125-125
    2. Nannan Wang, Shengchuan Zhang, Chunlei Peng, Jie Li, Xinbo Gao
      Pages 127-147
    3. Jingxiao Zheng, Vishal M. Patel, Rama Chellappa
      Pages 149-175
    4. David White, Kristin Norell, P. Jonathon Phillips, Alice J. O’Toole
      Pages 195-218
  5. Human Motion, Speech and Behavioral Analysis

    1. Front Matter
      Pages 219-219
    2. Andrzej Drygajlo, Rudolf Haraksim
      Pages 221-239
    3. Paulo Lobato Correia, Peter K. Larsen, Abdenour Hadid, Martin Sandau, Miguel Almeida
      Pages 241-266
    4. Simon Denman, Michael Halstead, Clinton Fookes, Sridha Sridharan
      Pages 267-288
    5. Kamal Nasrollahi, Mohammad A. Haque, Ramin Irani, Thomas B. Moeslund
      Pages 289-302
  6. Statistical Analysis of Forensic Biometric Data

    1. Front Matter
      Pages 303-303
    2. Daniel Ramos, Ram P. Krish, Julian Fierrez, Didier Meuwly
      Pages 305-327
    3. Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia
      Pages 329-349

About this book

Introduction

This comprehensive handbook addresses the sophisticated forensic threats and challenges that have arisen in the modern digital age, and reviews the new computing solutions that have been proposed to tackle them. These include identity-related scenarios which cannot be solved with traditional approaches, such as attacks on security systems and the identification of abnormal/dangerous behaviors from remote cameras, for which advanced identification technologies and pattern recognition algorithms can offer novel ways to provide proof of identity.

Topics and features:

  • Presents the first dedicated volume on biometrics for forensic science and criminal investigations
  • Contains contributions from an international selection of preeminent authorities, including members of the EU COST Action “Biometrics and Forensics for the Digital Age”
  • Provides an in-depth analysis of the state of the art, together with a broad review of the available technologies and their potential applications
  • Discusses potential future developments in the adoption of advanced technologies for the automated or semi-automated analysis of forensic traces
  • Presents a particular focus on the acquisition and processing of data from real-world forensic cases
  • Offers an holistic perspective, integrating work from different research institutions and combining viewpoints from both biometric technologies and forensic science

This innovative volume will inspire and inform professionals, young researchers and graduate students interested in the use of cutting-edge biometric technologies in the service of criminal investigations.

Dr. Massimo Tistarelli is a Professor of Computer Science in the Department of Communication Science and Information Technology at the University of Sassari. Dr. Christophe Champod is a Professor of Forensic Science in the School of Criminal Justice at the University of Lausanne.

Keywords

Biometrics Crime Prevention Crime Scene Investigation Criminal Investigations Forensic Science Identification Pattern Recognition

Editors and affiliations

  • Massimo Tistarelli
    • 1
  • Christophe Champod
    • 2
  1. 1.University of SassariAlgheroItaly
  2. 2.University of LausanneLausanneSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-50673-9
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-50671-5
  • Online ISBN 978-3-319-50673-9
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • About this book
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