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.

Інтелектуальна відповідальність: Вид матеріалу: Текст Серія: Signal Processing for Security TechnologiesПублікація: Cham : Springer International Publishing : Imprint: Springer, 2017Видання: 1st ed. 2017Опис: VIII, 424 p. 194 illus., 146 illus. in color. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9783319473017
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 621.382 23
Класифікація Бібліотеки Конгресу:
  • TK5102.9
  • TA1637-1638
Електронне місцезнаходження та доступ:
Вміст:
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.
У: Springer eBooksЗведення: 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.
Тип одиниці: ЕКнига Списки з цим бібзаписом: Springer Ebooks (till 2020 - Open Access)+(2017 Network Access)) | Springer Ebooks (2017 Network Access))
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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.

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.

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