國立虎尾科技大學 |

Biometric security and privacy = opportunities & challenges in the big data era /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Biometric security and privacy/ edited by Richard Jiang ... [et al.].
其他題名:	opportunities & challenges in the big data era /
其他作者:	Jiang, Richard.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	viii, 424 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Biometric identification. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-47301-7
ISBN:	9783319473017

Biometric security and privacy = opportunities & challenges in the big data era /
Biometric security and privacyopportunities & challenges in the big data era /[electronic resource] :edited by Richard Jiang ... [et al.]. - Cham :Springer International Publishing :2017. - viii, 424 p. :ill., digital ;24 cm. - Signal processing for security technologies,2510-1498. - Signal processing for security technologies..

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.

ISBN: 9783319473017

Standard No.: 10.1007/978-3-319-47301-7doiSubjects--Topical Terms:

598553
Biometric identification.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.248

Biometric security and privacy = opportunities & challenges in the big data era /
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520 $a 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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