Automatic recognition of artistic Arabic calligraphy types
Other Title(s)
التعرف الآلي على نوع الخط العربي الفني
Joint Authors
Allaf, Siraj Rida
al-Hammuz, Rami
Source
Journal of King Abdulaziz University : Engineering Sciences
Issue
Vol. 27, Issue 1 (30 Jun. 2016), pp.3-17, 15 p.
Publisher
King Abdulaziz University Scientific Publishing Center
Publication Date
2016-06-30
Country of Publication
Saudi Arabia
No. of Pages
15
Main Subjects
Abstract EN
In this paper, we propose a new approach to recognizing artistic Arabic calligraphy types, which are handwritten scripts written by special calligraphy pens.
The nature of the structural composition of Arabic calligraphy makes it challenging to create such a recognition system: Difficulties include similarities among different types, overlap between letters, and letters that themselves assume different shapes.
A new off-line technique of font recognition based on extracting distinctive features of each type is presented in this work.
Features of selected types of artistic Arabic calligraphy are extracted to construct the features vector.
The features vector is used in the classification process to recognize the type.
A genetic algorithm is used to optimize the number of features and the image size that will be considered in the classification stage.
In the classification stage, we used a neural network module.
The approach is tested on two different datasets.
One is a local dataset of three different Arabic handwritten calligraphy types, Thuluth, Reqaa, and Kufi.
The other dataset is a public dataset of 10 different computer-generated fonts.
The recognition error rate for the local and public datasets was 8.02% and 7.55%, respectively.
American Psychological Association (APA)
Allaf, Siraj Rida& al-Hammuz, Rami. 2016. Automatic recognition of artistic Arabic calligraphy types. Journal of King Abdulaziz University : Engineering Sciences،Vol. 27, no. 1, pp.3-17.
https://search.emarefa.net/detail/BIM-822591
Modern Language Association (MLA)
Allaf, Siraj Rida& al-Hammuz, Rami. Automatic recognition of artistic Arabic calligraphy types. Journal of King Abdulaziz University : Engineering Sciences Vol. 27, no. 1 (Jun. 2016), pp.3-17.
https://search.emarefa.net/detail/BIM-822591
American Medical Association (AMA)
Allaf, Siraj Rida& al-Hammuz, Rami. Automatic recognition of artistic Arabic calligraphy types. Journal of King Abdulaziz University : Engineering Sciences. 2016. Vol. 27, no. 1, pp.3-17.
https://search.emarefa.net/detail/BIM-822591
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 16
Record ID
BIM-822591