Handbook of Biometric Anti-Spoofing
trusted biometrics under spoofing attacks
$430.82
- Paperback
281 pages
- Release Date
17 September 2016
Summary
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-spoof…
Book Details
| ISBN-13: | 9781447172000 |
|---|---|
| ISBN-10: | 1447172000 |
| Author: | Sébastien Marcel, Mark S. Nixon, Stan Z. Li |
| Publisher: | Springer London Ltd |
| Imprint: | Springer London Ltd |
| Format: | Paperback |
| Number of Pages: | 281 |
| Release Date: | 17 September 2016 |
| Weight: | 4.57kg |
| Dimensions: | 235mm x 155mm |
| Series: | Advances in Computer Vision and Pattern Recognition |
About The Author
Sébastien Marcel
Dr. Sébastien Marcel is a Senior Researcher and Head of the Biometrics Group at the Idiap Research Institute, Martigny, Switzerland. He is the Project Coordinator of the EC-funded TABULA RASA project (Trusted Biometrics under Spoofing Attacks). He is also the Director of the Swiss Center for Biometrics Research and Testing and a Lecturer at EPFL.
Dr. Mark S. Nixon is a Professor of Computer Vision in the School of Electronics and Computer Science at the University of Southampton, UK. He is a co-author of the Springer book Human Identification Based on Gait.
Dr. Stan Z. Li is a Professor at the National Laboratory of Pattern Recognition, Director of the Center for Biometrics and Security Research, and Director of the R&D Center for Visual Internet of Things, within the Chinese Academy of Sciences. His numerous publications include the successful Springer titles Handbook of Face Recognition, Encyclopedia of Biometrics, Handbook of Remote Biometrics and Markov Random Field Modeling in Image Analysis.
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