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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
Attention for Chapter 20: Invariants Discretization for Individuality Representation in Handwritten Authorship
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Chapter title
Invariants Discretization for Individuality Representation in Handwritten Authorship
Chapter number 20
Book title
Computational Forensics
Published by
Springer, Berlin, Heidelberg, August 2008
DOI 10.1007/978-3-540-85303-9_20
Book ISBNs
978-3-54-085302-2, 978-3-54-085303-9
Authors

Azah Kamilah Muda, Siti Mariyam Shamsuddin, Maslina Darus

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 %
Italy 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Professor 2 25%
Other 1 13%
Lecturer 1 13%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 4 50%
Mathematics 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Social Sciences 1 13%
Unknown 1 13%