Ebook: Handbook of Biometric Anti-Spoofing: Trusted Biometrics under Spoofing Attacks
- Tags: System Performance and Evaluation, Image Processing and Computer Vision, Pattern Recognition, Probability and Statistics in Computer Science
- Series: Advances in Computer Vision and Pattern Recognition
- Year: 2014
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
Presenting the first definitive study of the subject, this Handbook of Biometric Anti-Spoofing reviews the state of the art in covert attacks against biometric systems and in deriving countermeasures to these attacks. Topics and features: provides a detailed introduction to the field of biometric anti-spoofing and a thorough review of the associated literature; examines spoofing attacks against five biometric modalities, namely, fingerprints, face, iris, speaker and gait; discusses anti-spoofing measures for multi-model biometric systems; reviews evaluation methodologies, international standards and legal and ethical issues; describes current challenges and suggests directions for future research; presents the latest work from a global selection of experts in the field, including members of the TABULA RASA project.
As the plethora of approaches to biometrics and their deployment continues to grow, so too does the need to combat the techniques used to subvert the aim of such biometric systems.
Presenting the first definitive study of the subject, this Handbook of Biometric Anti-Spoofing reviews the state of the art in covert attacks against biometric systems, and in deriving countermeasures to these attacks. Across a range of common biometrics, including face, iris, fingerprint, speaker and gait, the book describes spoofing methods and examines the vulnerabilities of biometric systems to these attacks. Novel theoretical methods are also introduced to evaluate the various possible countermeasures.
Topics and features:
- Provides a detailed introduction to the field of biometric anti-spoofing and a thorough review of the associated literature
- Examines spoofing attacks against five biometric modalities, namely, fingerprints, face, iris, speaker and gait
- Discusses anti-spoofing measures for multi-model biometric systems
- Reviews evaluation methodologies, international standards, and legal and ethical issues
- Describes current challenges and suggests directions for future research
- Presents the latest work from a global selection of experts in the field, including members of the TABULA RASA project