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Biometric-Based Physical and Cybersecurity Systems

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Cover of 'Biometric-Based Physical and Cybersecurity Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Advances in Fingerprint Technology
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    Chapter 3 Recognition-Based on Eye Biometrics: Iris and Retina
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    Chapter 4 3D Hand Geometry Recognition
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    Chapter 5 Fundamentals and Advances in 3D Face Recognition
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    Chapter 6 Advances in Key Stroke Dynamics-Based Security Schemes
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    Chapter 7 Behavioral Biometrics Based on Human-Computer Interaction Devices
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    Chapter 8 Continuous Authentication Using Writing Style
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    Chapter 9 Facets and Promises of Gait Biometric Recognition
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    Chapter 10 Online Signature-Based Biometric Recognition
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    Chapter 11 EEG-Based Biometrics
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    Chapter 12 Multimodal Biometric Invariant Fusion Techniques
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    Chapter 13 Biometrics Based on Healthcare Sensors
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    Chapter 14 Biometric Authentication for Wearables
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    Chapter 15 Cognitive Biometrics for User Authentication
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    Chapter 16 Finger Knuckle-Based Multi-Biometric Authentication Systems
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    Chapter 17 Leveraging Cloud-Based Resources for Automated Biometric Identification
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    Chapter 18 Automated Biometric Authentication with Cloud Computing
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    Chapter 19 Biometric Security and Internet of Things (IoT)
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    Chapter 20 Protecting the Integrity of Elections Using Biometrics
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    Chapter 21 Ethical, Legal, and Social Implications of Biometric Technologies
Attention for Chapter 10: Online Signature-Based Biometric Recognition
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Citations

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18 Mendeley
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Chapter title
Online Signature-Based Biometric Recognition
Chapter number 10
Book title
Biometric-Based Physical and Cybersecurity Systems
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-319-98734-7_10
Book ISBNs
978-3-31-998733-0, 978-3-31-998734-7
Authors

Sudeep Tanwar, Mohammad S. Obaidat, Sudhanshu Tyagi, Neeraj Kumar, Tanwar, Sudeep, Obaidat, Mohammad S., Tyagi, Sudhanshu, Kumar, Neeraj

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 11%
Student > Bachelor 2 11%
Student > Ph. D. Student 1 6%
Professor > Associate Professor 1 6%
Unknown 12 67%
Readers by discipline Count As %
Computer Science 4 22%
Engineering 3 17%
Unknown 11 61%