Overview
- Presents both an in-depth analysis of the state of the art, and a broad review of the available technologies and their potential applications
- Provides a focus on acquiring and processing data from real forensic cases
- Examines each topic from the perspective of both the biometric technologies and the forensic science in an integrated manner
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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About this book
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.
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Keywords
Table of contents (16 chapters)
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Front Matter
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Human Motion, Speech and Behavioral Analysis
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Front Matter
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Statistical Analysis of Forensic Biometric Data
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Front Matter
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Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Handbook of Biometrics for Forensic Science
Editors: Massimo Tistarelli, Christophe Champod
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-3-319-50673-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2017
Hardcover ISBN: 978-3-319-50671-5Published: 10 February 2017
Softcover ISBN: 978-3-319-84458-9Published: 04 May 2018
eBook ISBN: 978-3-319-50673-9Published: 01 February 2017
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: VIII, 369
Number of Illustrations: 50 b/w illustrations, 89 illustrations in colour
Topics: Biometrics, Forensic Science, Criminal Law and Criminal Procedure Law, Civil Law