Handbook of Biometrics for Forensic Science

1. Auflage 2017
ISBN: 978-3-319-50671-5
Verlag: Springer International Publishing

Buch, Englisch, 369 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 7607 g

Reihe: Advances in Computer Vision and Pattern Recognition

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.

Zielgruppe

Research

Autoren/Hrsg.

Champod, Christophe

Tistarelli, Massimo

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Forensik, Rechtsmedizin, Gerichtsmedizin
• Rechtswissenschaften Strafrecht Rechtsmedizin, Forensik
• Rechtswissenschaften Bürgerliches Recht

Inhaltsverzeichnis

Biometric Technologies for Forensic Science and Policing: State of the Art.- Part I: Analysis of Fingerprints and Fingermarks.- Capture and Analysis of Latent Marks.- Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks.- Challenges for Fingerprint Recognition: Spoofing, Skin Diseases and Environmental Effects.- Altered Fingerprint Detection.- Part II: Face and Video Analysis.- Face Sketch Recognition via Data-Driven Synthesis.- Recent Developments in Video-Based FaceRecognition.- Face Recognition Technologies for Evidential Evaluation of Video Traces.- Human Factors in Forensic Face Identification.- Part III: Human Motion, Speech and Behavioral Analysis.- Biometric Evidence in Forensic Automatic Speaker Recognition.- On Using Soft Biometrics in Forensic Investigation.- Locating People in Surveillance Video Using Soft Biometric Traits.- Contact-Free Heartbeat Signal for Human Identification and Forensics.- Part IV: Statistical Analysis of Forensic Biometric Data.- From Biometric Scores to Forensic Likelihood Ratios.- Dynamic Signatures as Forensic Evidence: A New Expert Tool Including Population Statistics.- Part V: Ethical and Legal Issues.- Ethics and Policy of Forensic Biometrics.

Über Autor(innen)

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.