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: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/6439/ http://irep.iium.edu.my/6439/1/04580716.pdf |
| Summary: | 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. |
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