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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 Computational Forensics: An Overview
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    Chapter 2 Computational Methods for Determining Individuality
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    Chapter 3 Survey of Scanner and Printer Forensics at Purdue University
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    Chapter 4 Evaluation of Graylevel-Features for Printing Technique Classification in High-Throughput Document Management Systems
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    Chapter 5 Document Signature Using Intrinsic Features for Counterfeit Detection
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    Chapter 6 Automatic Feature Extraction from 3D Range Images of Skulls
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    Chapter 7 3D Processing and Visualization of Scanned Forensic Data
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    Chapter 8 Person Identification Based on Barefoot 3D Sole Shape
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    Chapter 9 Computerized Matching of Shoeprints Based on Sole Pattern
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    Chapter 10 Shoe-Print Extraction from Latent Images Using CRF
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    Chapter 11 Finding Identity Group “Fingerprints” in Documents
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    Chapter 12 Supporting Law Enforcement in Digital Communities through Natural Language Analysis
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    Chapter 13 An Intelligent System for Semantic Information Retrieval Information from Textual Web Documents
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    Chapter 14 Support of Interviewing Techniques in Physical Access Control Systems
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    Chapter 15 Application of q -Gram Distance in Digital Forensic Search
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    Chapter 16 Similarity Visualization for the Grouping of Forensic Speech Recordings
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    Chapter 17 Handwritten Signature and Speech: Preliminary Experiments on Multiple Source and Classifiers for Personal Identity Verification
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    Chapter 18 Signature Verification Using a Bayesian Approach
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    Chapter 19 Stroke-Morphology Analysis Using Super-Imposed Writing Movements
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    Chapter 20 Invariants Discretization for Individuality Representation in Handwritten Authorship
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416 Mendeley
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Title
Computational Forensics
Published by
Springer Berlin Heidelberg, August 2008
DOI 10.1007/978-3-540-85303-9
ISBNs
978-3-54-085302-2, 978-3-54-085303-9
Editors

Srihari, Sargur N., Franke, Katrin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 416 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 29 7%
Canada 2 <1%
Korea, Republic of 1 <1%
United Kingdom 1 <1%
Unknown 383 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 105 25%
Researcher 97 23%
Other 37 9%
Student > Master 34 8%
Student > Doctoral Student 28 7%
Other 83 20%
Unknown 32 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 19%
Social Sciences 47 11%
Medicine and Dentistry 35 8%
Engineering 26 6%
Psychology 25 6%
Other 162 39%
Unknown 41 10%