Biometric Security and Privacy Opportunities & Challenges in The Big Data Era /
This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as quality issue, biometric template prote...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Σειρά: | Signal Processing for Security Technologies,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Part I – New Methods in Biometrics
- Deep Biometrics: A Robust Approach to Biometrics in Big Data Issues
- Multimodal Biometric Fusion via Ensemble Learning
- Fuzzy Logic for Precise Biometric Systems
- Hierarchical Biometric Verification with Sparse Features
- Dynamic Programming for Biometric Verification
- Part II – New Advances in Various Biometric Technologies
- Paleographic Handwriting Analysis for Author Identification
- Palmprints versus Fingerprints: Rivals or Friends?
- A Survey on Soft Biometrics for Forensic Analysis
- Robust Biometric Verification with Low Quality Data
- Streamed Biometric Verification for Big Data Challenge
- Privacy-Protected Biometric Verification for Security Applications
- Part III – New Applications using Biometrics
- Biometric Key Generation using Fuzzy Extractor for Mobile Banking
- Securing Electronic Medical Records Using Biometric Authentication
- Body Biometrics from MRI Images for Medicine Advice
- Identify Invisible Persons in Social Network
- From Memory to Human Recognition in Cognitive Robots.