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Guide to OCR for Arabic Scripts

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Cover of 'Guide to OCR for Arabic Scripts'

Table of Contents

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    Book Overview
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    Chapter 1 An Assessment of Arabic Handwriting Recognition Technology
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    Chapter 2 Layout Analysis of Arabic Script Documents
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    Chapter 3 A Multi-stage Approach to Arabic Document Analysis
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    Chapter 4 Pre-processing Issues in Arabic OCR
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    Chapter 5 Segmentation of Ancient Arabic Documents
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    Chapter 6 Features for HMM-Based Arabic Handwritten Word Recognition Systems
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    Chapter 7 Printed Arabic Text Recognition
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    Chapter 8 Handwritten Arabic Word Recognition Using the IFN / ENIT - database
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    Chapter 9 RWTH OCR: A Large Vocabulary Optical Character Recognition System for Arabic Scripts
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    Chapter 10 Arabic Handwriting Recognition Using Bernoulli HMMs
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    Chapter 11 Handwritten Farsi Word Recognition Using Hidden Markov Models
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    Chapter 12 Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networks
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    Chapter 13 Application of Fractal Theory in Farsi/Arabic Document Analysis
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    Chapter 14 Multi-stream Markov Models for Arabic Handwriting Recognition
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    Chapter 15 Toward Distributed Cursive Writing OCR Systems Based on a Combination of Complementary Approaches
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    Chapter 16 Data Collection and Annotation for Arabic Document Analysis
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    Chapter 17 Arabic Handwriting Recognition Competitions
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    Chapter 18 Benchmarking Strategy for Arabic Screen-Rendered Word Recognition
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    Chapter 19 A Robust Word Spotting System for Historical Arabic Manuscripts
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    Chapter 20 Arabic Text Recognition Using a Script-Independent Methodology: A Unified HMM-Based Approach for Machine-Printed and Handwritten Text
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    Chapter 21 Arabic Handwriting Recognition Using VDHMM and Over-segmentation
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    Chapter 22 Online Arabic Databases and Applications
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    Chapter 23 On-line Arabic Handwritten Word Recognition Based on HMM and Combination of On-line and Off-line Features
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Title
Guide to OCR for Arabic Scripts
Published by
Springer-Verlag London, January 2012
DOI 10.1007/978-1-4471-4072-6
ISBNs
978-1-4471-4071-9, 978-1-4471-4072-6, 978-1-4471-5976-6
Authors

Märgner, Volker, El Abed, Haikal

Editors

Volker Märgner, Haikal El Abed

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 349 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Turkey 1 <1%
Pakistan 1 <1%
Tunisia 1 <1%
Canada 1 <1%
Unknown 344 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 7%
Student > Master 22 6%
Researcher 9 3%
Student > Doctoral Student 5 1%
Lecturer 5 1%
Other 13 4%
Unknown 270 77%
Readers by discipline Count As %
Computer Science 53 15%
Engineering 9 3%
Mathematics 3 <1%
Arts and Humanities 3 <1%
Social Sciences 2 <1%
Other 7 2%
Unknown 272 78%