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Computational Forensics

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Cover of 'Computational Forensics'

Table of Contents

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    Book Overview
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    Chapter 1 Voice Passphrase Variability Evaluation for Speaker Recognition
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    Chapter 2 Minutiae Based Palmprint Indexing
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    Chapter 3 Studies in Individuality: Can Students, Teachers and Schools Be Determined from Children’s Handwriting?
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    Chapter 4 Robust 2D Face Recognition Under Different Illuminations Using Binarized Partial Face Features: Towards Protecting ID Documents
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    Chapter 5 Computational Forensics
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    Chapter 6 Efficient Iris Recognition System Using Relational Measures
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    Chapter 7 On Latent Fingerprint Image Quality
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    Chapter 8 A Study of Identification Performance of Facial Regions from CCTV Images
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    Chapter 9 Inverse of Low Resolution Line Halftone Images for Document Inspection
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    Chapter 10 When Document Security Brings New Challenges to Document Analysis
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    Chapter 11 Stamp Verification for Automated Document Authentication
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    Chapter 12 Lessons Learned from Automatic Forgery Detection in over 100,000 Invoices
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    Chapter 13 Introducing and Analysis of the Windows 8 Event Log for Forensic Purposes
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    Chapter 14 Automatic Creation of Computer Forensic Test Images
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    Chapter 15 Art Forgery Detection via Craquelure Pattern Matching
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    Chapter 16 Forensics Acquisition and Analysis of Instant Messaging and VoIP Applications
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    Chapter 17 Biografo: An Integrated Tool for Forensic Writer Identification
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Title
Computational Forensics
Published by
Springer, Cham, July 2015
DOI 10.1007/978-3-319-20125-2
ISBNs
978-3-31-920124-5, 978-3-31-920125-2
Editors

Utpal Garain, Faisal Shafait

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Master 3 20%
Other 2 13%
Student > Bachelor 2 13%
Lecturer > Senior Lecturer 1 7%
Other 2 13%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 11 73%
Engineering 2 13%
Mathematics 1 7%
Unknown 1 7%