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Arabic and Chinese Handwriting Recognition

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Cover of 'Arabic and Chinese Handwriting Recognition'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Visual Recognition of Arabic Handwriting: Challenges and New Directions
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    Chapter 2 A Review on Persian Script and Recognition Techniques
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    Chapter 3 Human Reading Based Strategies for Off-Line Arabic Word Recognition
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    Chapter 4 Versatile Search of Scanned Arabic Handwriting
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    Chapter 5 A Two-Tier Arabic Offline Handwriting Recognition Based on Conditional Joining Rules
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    Chapter 6 Databases and Competitions: Strategies to Improve Arabic Recognition Systems
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    Chapter 7 Handwritten Chinese Character Recognition: Effects of Shape Normalization and Feature Extraction
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    Chapter 8 How to Deal with Uncertainty and Variability: Experience and Solutions
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    Chapter 9 An Efficient Candidate Set Size Reduction Method for Coarse-Classification in Chinese Handwriting Recognition
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    Chapter 10 Techniques for Solving the Large-Scale Classification Problem in Chinese Handwriting Recognition
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    Chapter 11 Recent Results of Online Japanese Handwriting Recognition and Its Applications
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    Chapter 12 Segmentation-Driven Offline Handwritten Chinese and Arabic Script Recognition
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    Chapter 13 Multi-character Field Recognition for Arabic and Chinese Handwriting
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    Chapter 14 Multi-lingual Offline Handwriting Recognition Using Hidden Markov Models: A Script-Independent Approach
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    Chapter 15 Handwritten Character Recognition of Popular South Indian Scripts
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    Chapter 16 Ensemble Methods to Improve the Performance of an English Handwritten Text Line Recognizer
Attention for Chapter 2: A Review on Persian Script and Recognition Techniques
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Chapter title
A Review on Persian Script and Recognition Techniques
Chapter number 2
Book title
Arabic and Chinese Handwriting Recognition
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-78199-8_2
Book ISBNs
978-3-54-078198-1, 978-3-54-078199-8
Authors

Sara Izadi, Javad Sadri, Farshid Solimanpour, Ching Y. Suen, Izadi, Sara, Sadri, Javad, Solimanpour, Farshid, Suen, Ching Y.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 40%
Student > Ph. D. Student 1 10%
Unspecified 1 10%
Other 1 10%
Researcher 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 3 30%
Arts and Humanities 2 20%
Engineering 2 20%
Psychology 1 10%
Unknown 2 20%