Handbook of biometric template protection : motivation, methods and metrics /

With the proliferation of biometric technology such as face, fingerprint, iris and voice recognition, concerns have arisen regarding the vulnerability of our biometric data. How can we safeguard our irreplaceable biometric data, which are intricately linked to our biological identities, from potent...

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Bibliographic Details
Other Authors:	Krivokuća Hahn, Vedrana, Gomez-Barrero, Marta, Ross, Arun A. (Arun Abraham), Marcel, Sébastien
Format:	eBook
Language:	English
Published:	Singapore : Springer, [2026]
Series:	Computer science series.
Subjects:	Biometric identification > Security measures. Biometric identification. Data protection. Computer security. Identification biométrique. Protection de l'information (Informatique) Sécurité informatique. Identification biométrique > Sécurité > Mesures.

Table of Contents:

Part I. Motivation
Chapter 1. Biometric Template Protection - Why and How
Chapter 2. Traditional and Emerging Data Protection Methods
Chapter 3. A Legal Obligation to Protect Biometric Information: A Brief Analysis
Part II Methods
Chapter 4. Feature Transformation-Based Biometrics Template Protection
Chapter 5. Biometric Cryptosystems
Chapter 6. Homomorphic Encryption for Biometric Template Protection
Chapter 7. Using Neural Networks to Learn Biometric Template Protection
Part III. Metrics
Chapter 8. On the Evaluation of Recognition Performance in Protected Biometric Systems
Chapte 9. Evaluating Irreversibility of Biometric Template Protection Schemes
Chapter 10. Unlinkability Evaluation of Biometric Template Protection Schemes. Summary and Conclusions.