TY  - BOOK
AU  - Jiang,Richard
AU  - Al-maadeed,Somaya
AU  - Bouridane,Ahmed
AU  - Crookes,ProfDanny
AU  - Beghdadi,Azeddine
ED  - SpringerLink (Online service)
TI  - Biometric Security and Privacy: Opportunities & Challenges in The Big Data Era 
T2  - Signal Processing for Security Technologies,
SN  - 9783319473017
AV  - TK5102.9 
U1  - 621.382 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Signal processing
KW  - Image processing
KW  - Speech processing systems
KW  - Biometrics (Biology)
KW  - Big data
KW  - User interfaces (Computer systems)
KW  - System safety
KW  - Computer security
KW  - Signal, Image and Speech Processing
KW  - Biometrics
KW  - Big Data/Analytics
KW  - User Interfaces and Human Computer Interaction
KW  - Security Science and Technology
KW  - Systems and Data Security
N1  - 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; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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 protection, and anti-spoofing. The book also focuses on several emerging topics such as big data issues, mobile biometrics and multispectral biometrics, and includes a number of new biometrics such as vein pattern, acoustic biometrics, eye-blinking EOG, ECG, gait and handwriting. Authors also show how to use biometrics in cyber security applications and its relevant legal matters under EU legislation. The contributors cover the topics, their methods, and their applications in depth
UR  - https://doi.org/10.1007/978-3-319-47301-7
ER  -