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Lucid explanation of core biometric concepts (e.g., individuality and persistence), which builds a strong foundation for more in-depth study and research on biometrics
A new chapter on deep neural networks that provides a primer to recent advancements in machine learning and computer vision
Illustrative examples of how deep neural network models have contributed to the rapid evolution of biometrics in areas such as robust feature representation and synthetic biometric data generation
A new chapter on speaker recognition, which introduces the readers to person recognition based on the human voice characteristics
Presentation of emerging security threats such as deepfakes and adversarial attacks and sophisticated countermeasures such as presentation attack detection and template security
While this textbook has been designed for senior undergraduate students and first-year graduate students studying a course on biometrics, it is also a useful reference guide for biometric system designers, developers, and integrators.
Lucid explanation of core biometric concepts (e.g., individuality and persistence), which builds a strong foundation for more in-depth study and research on biometrics
A new chapter on deep neural networks that provides a primer to recent advancements in machine learning and computer vision
Illustrative examples of how deep neural network models have contributed to the rapid evolution of biometrics in areas such as robust feature representation and synthetic biometric data generation
A new chapter on speaker recognition, which introduces the readers to person recognition based on the human voice characteristics
Presentation of emerging security threats such as deepfakes and adversarial attacks and sophisticated countermeasures such as presentation attack detection and template security
While this textbook has been designed for senior undergraduate students and first-year graduate students studying a course on biometrics, it is also a useful reference guide for biometric system designers, developers, and integrators.
Dr. Anil K. Jain is University Distinguished Professor and Douglas E. Zongker endowed professor at Michigan State University.
Dr. Arun Ross is Martin J. Vanderploeg Endowed Professor at Michigan State University.
Dr. Karthik Nandakumar is an Associate Professor of Computer Vision at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI).
Thomas Swearingen isaGraduate Research Assistant at Michigan State University pursuing his Ph.D. in biometrics.
The authors' many publications include the Springer titles Selfie Biometrics: Advances and Challenges, Encyclopedia of Biometrics, Handbook of Face Recognition, Handbook of Fingerprint Recognition, Handbook of Biometrics, Handbook of Multibiometrics, and Biometric Systems: Technology, Design and Performance.
1. Introduction.- 2. Fingerprint Recognition.- 3. Face Recognition.- 4. Iris Recognition.- 5. Additional Biometric Traits.- 6. Biometrics.
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
xviii
405 S. 98 s/w Illustr. 145 farbige Illustr. 405 p. 243 illus. 145 illus. in color. |
| ISBN-13: | 9783031616747 |
| ISBN-10: | 303161674X |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: |
Jain, Anil K.
Swearingen, Thomas Nandakumar, Karthik Ross, Arun A. |
| Auflage: | Second Edition 2025 |
| Hersteller: |
Springer Nature Switzerland
Springer International Publishing Springer International Publishing AG |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 27 mm |
| Von/Mit: | Anil K. Jain (u. a.) |
| Erscheinungsdatum: | 30.10.2024 |
| Gewicht: | 0,876 kg |
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