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Handbook of Biometrics for Forensic Science Softcover reprint of the original 1st ed. 2017 [Mīkstie vāki]

  • Formāts: Paperback / softback, 369 pages, height x width: 235x155 mm, weight: 781 g, 89 Illustrations, color; 50 Illustrations, black and white; VIII, 369 p. 139 illus., 89 illus. in color., 1 Paperback / softback
  • Sērija : Advances in Computer Vision and Pattern Recognition
  • Izdošanas datums: 04-May-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331984458X
  • ISBN-13: 9783319844589
  • Mīkstie vāki
  • Cena: 100,46 €*
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  • Formāts: Paperback / softback, 369 pages, height x width: 235x155 mm, weight: 781 g, 89 Illustrations, color; 50 Illustrations, black and white; VIII, 369 p. 139 illus., 89 illus. in color., 1 Paperback / softback
  • Sērija : Advances in Computer Vision and Pattern Recognition
  • Izdošanas datums: 04-May-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331984458X
  • ISBN-13: 9783319844589
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.

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. Features: 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.
1 Biometric Technologies for Forensic Science and Policing: State of the Art
1(18)
Christophe Champod
Massimo Tistarelli
Part I Analysis of Fingerprints and Fingermarks
2 Capture and Analysis of Latent Marks
19(18)
Mario Hildebrandt
Jana Dittmann
Claus Vielhauer
3 Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks
37(26)
Davide Maltoni
Raffaele Cappelli
Didier Meuwly
4 Challenges for Fingerprint Recognition---Spoofing, Skin Diseases, and Environmental Effects
63(22)
Martin Drahansky
Ondrej Kanich
Eva Brezinova
5 Altered Fingerprint Detection
85(42)
John Ellingsgaard
Christoph Busch
Part II Face and Video Analysis
6 Face Sketch Recognition via Data-Driven Synthesis
127(22)
Nannan Wang
Shengchuan Zhang
Chunlei Peng
Jie Li
Xinbo Gao
7 Recent Developments in Video-Based Face Recognition
149(28)
Jingxiao Zheng
Vishal M. Patel
Rama Chellappa
8 Face Recognition Technologies for Evidential Evaluation of Video Traces
177(18)
Xingjie Wei
Chang-Tsun Li
9 Human Factors in Forensic Face Identification
195(26)
David White
Kristin Norell
P. Jonathon Phillips
Alice J. O'Toole
Part III Human Motion, Speech and Behavioral Analysis
10 Biometric Evidence in Forensic Automatic Speaker Recognition
221(20)
Andrzej Drygajlo
Rudolf Haraksim
11 On Using Soft Biometrics in Forensic Investigation
241(26)
Paulo Lobato Correia
Peter K. Larsen
Abdenour Hadid
Martin Sandau
Miguel Almeida
12 Locating People in Surveillance Video Using Soft Biometric Traits
267(22)
Simon Denman
Michael Halstead
Clinton Fookes
Sridha Sridharan
13 Contact-Free Heartbeat Signal for Human Identification and Forensics
289(16)
Kamal Nasrollahi
Mohammad A. Haque
Ramin Irani
Thomas B. Moeslund
Part IV Statistical Analysis of Forensic Biometric Data
14 From Biometric Scores to Forensic Likelihood Ratios
305(24)
Daniel Ramos
Ram P. Krish
Julian Fierrez
Didier Meuwly
15 Dynamic Signatures as Forensic Evidence: A New Expert Tool Including Population Statistics
329(24)
Ruben Vera-Rodriguez
Julian Fierrez
Javier Ortega-Garcia
Part V Ethical and Legal Issues
16 Ethics and Policy of Forensic Biometrics
353(14)
Emilio Mordini
Index 367
Dr. Massimo Tistarelli is a Professor of Computer Science in the Department of Communication Science and Information Technology at the University of Sassari, Italy.

Dr. Christophe Champod is a Professor of Forensic Science in the School of Criminal Justice at the University of Lausanne, Switzerland.