Handbook of Biometrics for Forensic Science / edited by Massimo Tistarelli, Christophe Champod.

Format:

Book

Contributor:

Tistarelli, Massimo., Editor.

Champod, Christophe., Editor.

Series:

Advances in Computer Vision and Pattern Recognition, 2191-6594

Language:

English

Subjects (All):

Biometric identification.

Forensic sciences.

Criminal law.

Civil law.

Biometrics.

Forensic Science.

Criminal Law and Criminal Procedure Law.

Civil Law.

Local Subjects:

Biometrics.

Forensic Science.

Criminal Law and Criminal Procedure Law.

Civil Law.

Physical Description:

1 online resource (VIII, 369 p. 139 illus., 89 illus. in color.)

Edition:

1st ed. 2017.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2017.

Summary:

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 ofForensic Science in the School of Criminal Justice at the University of Lausanne.

Contents:

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.

Notes:

Includes bibliographical references at the end of each chapters and index.

ISBN:

3-319-50673-0