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Biometric Authentication

Overview of attention for book
Cover of 'Biometric Authentication'

Table of Contents

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    Book Overview
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    Chapter 1 On Semantic Soft-Biometric Labels
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    Chapter 2 Human Classification Using Gait Features
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    Chapter 3 Using Mutual Information for Multi-Anchor Tracking of Human Beings
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    Chapter 4 A Framework for Fast Low-Power Multi-sensor 3D Scene Capture and Reconstruction
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    Chapter 5 Iris Detection through Watershed Segmentation
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    Chapter 6 Fast Iris Recognition on Smartphone by means of Spatial Histograms
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    Chapter 7 A Contourlet Transform Based for Features Fusion in Retina and Iris Multimodal Biometric System
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    Chapter 8 From Speaker Recognition to Forensic Speaker Recognition
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    Chapter 9 Noisy Speech Endpoint Detection using Robust Feature
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    Chapter 10 Appearance-Based 3D Object Approach to Human Ears Recognition
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    Chapter 11 3D Ear Analysis by an EGI Representation
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    Chapter 12 Biometrics in Forensic Science: Challenges, Lessons and New Technologies
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    Chapter 13 Facial Expression Classification Using Supervised Descent Method Combined With PCA and SVM
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    Chapter 14 Human Gaze Tracking With An Active Multi-Camera System
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    Chapter 15 Effect of Handwriting Changes on the Possibilities for Computerized Handwriting Examination
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    Chapter 16 Neural Network and kNN Classifiers for On-Line Signature Verification
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    Chapter 17 People Identification and Tracking Through Fusion of Facial and Gait Features
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    Chapter 18 Pupil Size as a Biometric Trait
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    Chapter 19 Analysing Soft Clothing Biometrics for Retrieval
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    Chapter 20 On the Application of Biometric Techniques for Locating Damaged Artworks
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    Chapter 21 Multifractal Analysis of Posturograms of Young and Elderly Persons
Attention for Chapter 3: Using Mutual Information for Multi-Anchor Tracking of Human Beings
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Chapter title
Using Mutual Information for Multi-Anchor Tracking of Human Beings
Chapter number 3
Book title
Biometric Authentication
Published by
Springer, Cham, June 2014
DOI 10.1007/978-3-319-13386-7_3
Book ISBNs
978-3-31-913385-0, 978-3-31-913386-7
Authors

Silvio Barra, Maria De Marsico, Virginio Cantoni, Daniel Riccio, Barra, Silvio, De Marsico, Maria, Cantoni, Virginio, Riccio, Daniel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 13%
Student > Doctoral Student 1 13%
Professor 1 13%
Student > Ph. D. Student 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Unknown 3 38%
Readers by discipline Count As %
Computer Science 4 50%
Unknown 4 50%