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Handbook of Document Image Processing and Recognition

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Cover of 'Handbook of Document Image Processing and Recognition'

Table of Contents

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    Book Overview
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    Chapter 2 A Brief History of Documents and Writing Systems
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    Chapter 3 Document Creation, Image Acquisition and Document Quality
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    Chapter 4 Imaging Techniques in Document Analysis Processes
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    Chapter 5 Page Segmentation Techniques in Document Analysis
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    Chapter 6 Analysis of the Logical Layout of Documents
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    Chapter 7 Page Similarity and Classification
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    Chapter 8 Text Segmentation for Document Recognition
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    Chapter 9 Language, Script, and Font Recognition
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    Chapter 11 Handprinted Character and Word Recognition
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    Chapter 12 Continuous Handwritten Script Recognition
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    Chapter 13 Middle Eastern Character Recognition
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    Chapter 14 Asian Character Recognition
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    Chapter 16 Logo and Trademark Recognition
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    Chapter 17 An Overview of Symbol Recognition
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    Chapter 18 Graphics Recognition Techniques
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    Chapter 19 Analysis and Interpretation of Graphical Documents
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    Chapter 20 Recognition of Tables and Forms
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    Chapter 21 Processing Mathematical Notation
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    Chapter 22 Document Analysis in Postal Applications and Check Processing
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    Chapter 24 Analysis and Recognition of Music Scores
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    Chapter 26 Analysis of Documents Born Digital
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    Chapter 27 Image Based Retrieval and Keyword Spotting in Documents
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    Chapter 28 Text Localization and Recognition in Images and Video
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    Chapter 29 Online Handwriting Recognition
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    Chapter 30 Online Signature Verification
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    Chapter 31 Sketching Interfaces
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    Chapter 32 Datasets and Annotations for Document Analysis and Recognition
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    Chapter 33 Tools and Metrics for Document Analysis Systems Evaluation
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    Chapter 43 The Evolution of Document Image Analysis
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    Chapter 44 Machine-Printed Character Recognition
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6 X users
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4 patents
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2 Facebook pages

Citations

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72 Dimensions

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197 Mendeley
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Title
Handbook of Document Image Processing and Recognition
Published by
Springer-Verlag London, January 2014
DOI 10.1007/978-0-85729-859-1
ISBNs
978-0-85729-859-1, 978-0-85729-858-4, 978-0-85729-860-7
Editors

David Doermann, Karl Tombre

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
China 1 <1%
United States 1 <1%
Unknown 193 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 45 23%
Student > Ph. D. Student 41 21%
Researcher 18 9%
Student > Bachelor 17 9%
Student > Postgraduate 9 5%
Other 27 14%
Unknown 40 20%
Readers by discipline Count As %
Computer Science 96 49%
Engineering 24 12%
Mathematics 6 3%
Earth and Planetary Sciences 4 2%
Materials Science 3 2%
Other 14 7%
Unknown 50 25%