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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
Attention for Chapter 13: Middle Eastern Character Recognition
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Chapter title
Middle Eastern Character Recognition
Chapter number 13
Book title
Handbook of Document Image Processing and Recognition
Published by
Springer, London, January 2014
DOI 10.1007/978-0-85729-859-1_13
Book ISBNs
978-0-85729-858-4, 978-0-85729-859-1
Authors

Abdel Belaı̈d, Mohamed Imran Razzak, Belaı̈d, Abdel, Razzak, Mohamed Imran

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X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 57%
Professor > Associate Professor 2 29%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 3 43%
Economics, Econometrics and Finance 1 14%
Social Sciences 1 14%
Unknown 2 29%