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Biometric Security and Privacy
Title statement Biometric Security and Privacy [electronic resource] : Opportunities & Challenges in The Big Data Era / edited by Richard Jiang, Somaya Al-maadeed, Ahmed Bouridane, Prof. Danny Crookes, Azeddine Beghdadi. Publication Cham : Springer International Publishing : Imprint: Springer, 2017. Phys.des. VIII, 424 p. 194 illus., 146 illus. in color. online resource. ISBN 9783319473017 Edition Signal Processing for Security Technologies, ISSN 2510-1498 Contents 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. Notes to Availability Přístup pouze pro oprávněné uživatele Another responsib. Jiang, Richard. Al-maadeed, Somaya. Bouridane, Ahmed. Crookes, Prof. Danny. Beghdadi, Azeddine. Another responsib. SpringerLink (Online service) Subj. Headings Engineering. * Big data. * Computer security. * User interfaces (Computer systems). * Biometrics (Biology). * System safety. Form, Genre elektronické knihy electronic books Country Německo Language angličtina Document kind Electronic books URL Plný text pro studenty a zaměstnance UPOL 
book
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.
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.
Number of the records: 1