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Biometric Security and Privacy

Overview of attention for book
Cover of 'Biometric Security and Privacy'

Table of Contents

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    Book Overview
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    Chapter 1 Fingerprint Quality Assessment: Matching Performance and Image Quality
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    Chapter 2 A Novel Perspective on Hand Vein Patterns for Biometric Recognition: Problems, Challenges, and Implementations
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    Chapter 3 Improving Biometric Identification Performance Using PCANet Deep Learning and Multispectral Palmprint
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    Chapter 4 Biometric Acoustic Ear Recognition
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    Chapter 5 Eye Blinking EOG Signals as Biometrics
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    Chapter 6 Improved Model-Free Gait Recognition Based on Human Body Part
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    Chapter 7 Smartphone User Authentication Using Touch Dynamics in the Big Data Era: Challenges and Opportunities
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    Chapter 8 Enhanced Biometric Security and Privacy Using ECG on the Zynq SoC
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    Chapter 9 Offline Biometric Signature Verification Using Geometric and Colour Features
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    Chapter 10 Non-cooperative and Occluded Person Identification Using Periocular Region with Visible, Infra-Red, and Hyperspectral Imaging
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    Chapter 11 Robust Face Recognition Using Kernel Collaborative Representation and Multi-scale Local Binary Patterns
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    Chapter 12 Recognition of 3D Faces with Missing Parts Based on SIFT and LBP Methods
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    Chapter 13 Face Anti-spoofing in Biometric Systems
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    Chapter 14 Biometric Template Protection: A Systematic Literature Review of Approaches and Modalities
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    Chapter 15 A Survey on Cyber Security Evolution and Threats: Biometric Authentication Solutions
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    Chapter 16 Data Protection and Biometric Data: European Union Legislation
Attention for Chapter 6: Improved Model-Free Gait Recognition Based on Human Body Part
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Citations

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Chapter title
Improved Model-Free Gait Recognition Based on Human Body Part
Chapter number 6
Book title
Biometric Security and Privacy
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-47301-7_6
Book ISBNs
978-3-31-947300-0, 978-3-31-947301-7
Authors

Imad Rida, Noor Al Maadeed, Gian Luca Marcialis, Ahmed Bouridane, Romain Herault, Gilles Gasso, Rida, Imad, Al Maadeed, Noor, Marcialis, Gian Luca, Bouridane, Ahmed, Herault, Romain, Gasso, Gilles

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 29%
Researcher 2 29%
Unspecified 1 14%
Student > Master 1 14%
Unknown 1 14%
Readers by discipline Count As %
Engineering 3 43%
Computer Science 1 14%
Unspecified 1 14%
Unknown 2 29%