Handwritten Arabic word recognition: A review of common approaches
script are at an early stage compared to their equivalent for the recognition of Latin and Chinese. In this paper, different approaches used for handwritten Arabic word recognition were reviewed. An introduction to the Arabic script is given, followed by a description of algorithms for the proc...
| Main Authors: | , , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/6439/1/04580716.pdf |
| _version_ | 1796875380504657920 |
|---|---|
| author | Ayyad, Assma O.H. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha |
| author_facet | Ayyad, Assma O.H. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha |
| author_sort | Ayyad, Assma O.H. |
| collection | IIUM |
| description | script are at an early stage compared to their
equivalent for the recognition of Latin and Chinese. In
this paper, different approaches used for handwritten
Arabic word recognition were reviewed. An
introduction to the Arabic script is given, followed by a
description of algorithms for the process involved:
segmentation, feature extraction, classification, and
recognition. However, an automatic recognition of text
on scanned images has enabled many applications
such as words spotting in large volumes of documents,
automatic sorting of postal mail, and convenient
editing of previously printed documents. The domain of
handwriting in the Arabic script presents unique
technical challenges and has been addressed more
recently than other domains. Many different methods
have been proposed and applied to various types of
images, and a variety of approaches have been already
developed, tested and returned good results. Yet the
database used was too small compared to the huge size
of Arabic texts, which gives way to other approaches to
be developed based on a bigger database. Since
handwriting recognition is such a large subject, there
is plenty of scope for the work in this field. Finally, a
comparison to show pros and cons of the approaches
reviewed is conducted. |
| first_indexed | 2024-03-05T22:37:54Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:6439 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:37:54Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:64392020-07-16T07:55:56Z http://irep.iium.edu.my/6439/ Handwritten Arabic word recognition: A review of common approaches Ayyad, Assma O.H. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha T Technology (General) script are at an early stage compared to their equivalent for the recognition of Latin and Chinese. In this paper, different approaches used for handwritten Arabic word recognition were reviewed. An introduction to the Arabic script is given, followed by a description of algorithms for the process involved: segmentation, feature extraction, classification, and recognition. However, an automatic recognition of text on scanned images has enabled many applications such as words spotting in large volumes of documents, automatic sorting of postal mail, and convenient editing of previously printed documents. The domain of handwriting in the Arabic script presents unique technical challenges and has been addressed more recently than other domains. Many different methods have been proposed and applied to various types of images, and a variety of approaches have been already developed, tested and returned good results. Yet the database used was too small compared to the huge size of Arabic texts, which gives way to other approaches to be developed based on a bigger database. Since handwriting recognition is such a large subject, there is plenty of scope for the work in this field. Finally, a comparison to show pros and cons of the approaches reviewed is conducted. 2008 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/6439/1/04580716.pdf Ayyad, Assma O.H. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha (2008) Handwritten Arabic word recognition: A review of common approaches. In: International Conference on Computer and Communication Engineering, ICCCE'08, (13 - 15 May 2008) hosted at Kuala Lumpur Malaysia , 13-15 May 2008 , Kuala Lumpur, Malaysia. |
| spellingShingle | T Technology (General) Ayyad, Assma O.H. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Handwritten Arabic word recognition: A review of common approaches |
| title | Handwritten Arabic word recognition: A review of common approaches |
| title_full | Handwritten Arabic word recognition: A review of common approaches |
| title_fullStr | Handwritten Arabic word recognition: A review of common approaches |
| title_full_unstemmed | Handwritten Arabic word recognition: A review of common approaches |
| title_short | Handwritten Arabic word recognition: A review of common approaches |
| title_sort | handwritten arabic word recognition a review of common approaches |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/6439/1/04580716.pdf |
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