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Handbook of biometrics for forensic science

Author: Massimo Tistarelli; Christophe Champod
Publisher: Cham, Switzerland : Springer, 2017.
Series: Advances in computer vision and pattern recognition.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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,  Read more...
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Genre/Form: Electronic books
Handbooks and manuals
Handbooks, manuals, etc
Additional Physical Format: Print version:
Handbook of biometrics for forensic science.
Cham, Switzerland : Springer, 2017
(OCoLC)962805673
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Massimo Tistarelli; Christophe Champod
ISBN: 9783319506739 3319506730
OCLC Number: 971492600
Notes: Includes index.
Description: 1 online resource.
Contents: Preface; Contents; 1 Biometric Technologies for Forensic Science and Policing: State of the Art; Abstract; 1.1 A Short Historical Introduction and Forensic Context; 1.2 Recent Developments of Biometric Technologies in Forensic Science; 1.3 Challenges; 1.4 Conclusions; Acknowledgements; References; Analysis of Fingerprints and Fingermarks; 2 Capture and Analysis of Latent Marks; Abstract; 2.1 Introduction; 2.2 Fingerprint Characteristics; 2.3 Conventional Latent Mark Acquisition Techniques; 2.4 Contact-Less Latent Mark Acquisition Techniques; 2.5 Latent Mark Analysis Process. 2.6 Legal Challenges of Applying New Techniques in the Latent Mark Processing2.7 Summary; References; 3 Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks; Abstract; 3.1 Introduction; 3.1.1 History; 3.1.2 AFIS Functionalities; 3.1.3 Fingerprint Identification Accuracy; 3.2 Automated Fingerprint/Mark Technology; 3.2.1 Fingerprints; 3.2.2 Fingermarks; 3.3 Segmentation; 3.4 Enhancement; 3.5 Forensic Applications; 3.5.1 Applications Using fingerprints; 3.5.1.1 Identity Management Within Criminal Justice Systems; 3.5.1.2 Forensic Identification of Missing Persons. 3.5.2 Application Using Fingermarks3.5.2.1 Forensic Intelligence; 3.5.2.2 Forensic Investigation; 3.5.2.3 Forensic Evaluation; 3.5.3 Current Challenges; 3.5.3.1 Automation and Transparency; 3.5.3.2 Scalability and Interoperability; 3.5.3.3 Forensic Fingermark Processes; 3.6 Conclusion; References; 4 Challenges for Fingerprint Recognition-Spoofing, Skin Diseases, and Environmental Effects; Abstract; 4.1 Spoofing and Anti-spoofing; 4.1.1 Perspiration; 4.1.2 Spectroscopic Characteristics; 4.1.3 Ultrasonic Technology; 4.1.4 Physical Characteristics: Temperature. 4.1.5 Physical Characteristics: Hot and Cold Stimulus4.1.6 Physical Characteristics: Pressure Stimulus; 4.1.7 Physical Characteristics: Electrical Properties; 4.1.8 Physical Characteristics: Pulse; 4.1.9 Physiological Basics of Heart Activity; 4.1.10 Physical Characteristics: Blood Oxygenation; 4.1.11 Fingerprint Spoof Preparation; 4.2 Skin Diseases; 4.3 Environmental Distortions; 4.3.1 Phenomena Influencing Fingerprint Acquisition; 4.3.2 Methods for Generation of Synthetic Fingerprints; 4.4 Conclusion; Acknowledgments; References; 5 Altered Fingerprint Detection; 5.1 Introduction. 5.2 Background of Fingerprint Alterations5.2.1 Obliteration; 5.2.2 Distortion; 5.2.3 Imitation; 5.3 Related Work; 5.3.1 Orientation Field Analysis; 5.3.2 Minutiae Distribution Analysis; 5.4 Recent Algorithms for Fingerprint Alteration Detection; 5.4.1 Preprocessing; 5.4.2 Singular Point Density Analysis; 5.4.3 Minutia Orientation Analysis; 5.4.4 Orientation Difference Map; 5.4.5 Orientation Density Map; 5.5 Evaluation and Results; 5.6 Conclusion; References; Face and Video Analysis; 6 Face Sketch Recognition via Data-Driven Synthesis; 6.1 Introduction; 6.2 Related Work.
Series Title: Advances in computer vision and pattern recognition.
Responsibility: Massimo Tistarelli, Christophe Champod, editors.

Abstract:

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  Read more...

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