Handbook of biometrics for forensic science için kapak resmi
Başlık:
Handbook of biometrics for forensic science
Yazar:
Tistarelli, Massimo, 1962-, editor.
ISBN:
9783319844589
Fiziksel Tanımlama:
viii, 396 pages. : illustrations ; 23 cm.
Seri:
Advances in computer vision and pattern recognition ; 2191-6586.

Advances in computer vision and pattern recognition.
Genel Not:
Includes index.
İçerik:
Biometric Technologies for Forensic Science and Policing: State of the Art Christophe Champod and Massimo TistarelliPart I: Analysis of Fingerprints and FingermarksCapture and Analysis of Latent Marks Mario Hildebrandt, Jana Dittmann, and Claus VielhauerAutomated Fingerprint Identification Systems: From Fingerprints to Fingermarks Davide Maltoni, Raffaele Cappelli, and Didier MeuwlyChallenges for Fingerprint Recognition: Spoofing, Skin Diseases and Environmental Effects Martin Drahansky, Ondrej Kanich, and Eva BrezinovaAltered Fingerprint Detection John Ellingsgaard and Christoph Busch Part II: Face and Video AnalysisFace Sketch Recognition via Data-Driven Synthesis Nannan Wang, Shengchuan Zhang, Chunlei Peng, Jie Li, and Xinbo GaoRecent Developments in Video-Based Face Recognition Jingxiao Zheng, Vishal M. Patel, and Rama ChellappaFace Recognition Technologies for Evidential Evaluation of Video Traces Xingjie Wei and Chang-Tsun LiHuman Factors in Forensic Face Identification David White, Kristine Norell, P. Jonathon Phillips, and Alice J. O'Toole Part III: Human Motion, Speech and Behavioral AnalysisBiometric Evidence in Forensic Automatic Speaker Recognition Andzrej Drygajlo and Rudolf HaraksimOn Using Soft Biometrics in Forensic Investigation Paulo Lobato Correia, Peter K. Larsen, Abdenour Hadid, Martin Sandau, and Miguel AlmeidaLocating People in Surveillance Video Using Soft Biometric Traits Simon Denman, Michael Halstead, Clinton Fookes, and Sridha SridharanContact-Free Heartbeat Signal for Human Identification and Forensics Kamal Nasrollahi, Mohammad A. Haque, Ramin Irani, and Thomas B. MoeslundPart IV: Statistical Analysis of Forensic Biometric DataFrom Biometric Scores to Forensic Likelihood Ratios Daniel Ramos, Ram P. Krish, Julian Fierrez, and Didier MeuwlyDynamic Signatures as Forensic Evidence: A New Expert Tool Including Population Statistics Ruben Vera-Rodriguez, Julian Fierrez, and Javier Ortega-GarciaPart V: Ethical and Legal IssuesEthics and Policy of Forensic Biometrics Emilio Mordini>.
Özet:
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.
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