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Advances in Biometrics

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Cover of 'Advances in Biometrics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Biometrics and Special Emphasis on Myanmar Sign Language Recognition
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    Chapter 2 Handling the Hypervisor Hijacking Attacks on Virtual Cloud Environment
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    Chapter 3 Proposed Effective Feature Extraction and Selection for Malicious Software Classification
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    Chapter 4 Feature-Based Blood Vessel Structure Rapid Matching and Support Vector Machine-Based Sclera Recognition with Effective Sclera Segmentation
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    Chapter 5 Different Parameter Analysis of Class-1 Generation-2 (C1G2) RFID System Using GNU Radio
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    Chapter 6 Design of Classifiers
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    Chapter 7 Social Impact of Biometric Technology: Myth and Implications of Biometrics: Issues and Challenges
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    Chapter 8 Segmentation and Classification of Retina Images Using Wavelet Transform and Distance Measures
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    Chapter 9 Language-Based Classification of Document Images Using Hybrid Texture Features
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    Chapter 10 Research Trends and Systematic Review of Plant Phenotyping
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    Chapter 11 Case Studies on Biometric Application for Quality-of-Experience Evaluation in Communication
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    Chapter 12 Nearest Neighbor Classification Approach for Bilingual Speaker and Gender Recognition
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    Chapter 13 Effective Security and Access Control Framework for Multilevel Organizations
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    Chapter 14 Dimensionality Reduction and Feature Matching in Functional MRI Imaging Data
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    Chapter 15 Classification of Biometrics and Implementation Strategies
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    Chapter 16 Advances in 3D Biometric Systems
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Title
Advances in Biometrics
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-30436-2
ISBNs
978-3-03-030435-5, 978-3-03-030436-2
Editors

Sinha, G.R.

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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 4 22%
Student > Doctoral Student 2 11%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Lecturer > Senior Lecturer 1 6%
Other 0 0%
Unknown 7 39%
Readers by discipline Count As %
Philosophy 3 17%
Computer Science 3 17%
Business, Management and Accounting 1 6%
Mathematics 1 6%
Agricultural and Biological Sciences 1 6%
Other 1 6%
Unknown 8 44%