Header-words based for printed Arabic document images retrieval system
Other Title(s)
نظام لاسترجاع الوثائق العربية المطبوعة بالاعتماد على كلمات الرأس
Joint Authors
Abbas, Haytham Karim
Abd al-Munim, Mathil Imad al-Din
Source
Issue
Vol. 58, Issue 3C (30 Sep. 2017), pp.1751-1759, 9 p.
Publisher
University of Baghdad College of Science
Publication Date
2017-09-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Printed Arabic document image retrieval is a very important and needed system for many companies, governments and various users.
In this paper, a printed Arabic document images retrieval system based on spotting the header words of official Arabic documents is proposed.
The proposed system uses an efficient segmentation, preprocessing methods and an accurate proposed feature extraction method in order to prepare the document for classification process.
Besides that, Support Vector Machine (SVM) is used for classification.
The experiments show the system achieved best results of accuracy that is 96.8% by using polynomial kernel of SVM classifier.
American Psychological Association (APA)
Abd al-Munim, Mathil Imad al-Din& Abbas, Haytham Karim. 2017. Header-words based for printed Arabic document images retrieval system. Iraqi Journal of Science،Vol. 58, no. 3C, pp.1751-1759.
https://search.emarefa.net/detail/BIM-793790
Modern Language Association (MLA)
Abd al-Munim, Mathil Imad al-Din& Abbas, Haytham Karim. Header-words based for printed Arabic document images retrieval system. Iraqi Journal of Science Vol. 58, no. 3C (2017), pp.1751-1759.
https://search.emarefa.net/detail/BIM-793790
American Medical Association (AMA)
Abd al-Munim, Mathil Imad al-Din& Abbas, Haytham Karim. Header-words based for printed Arabic document images retrieval system. Iraqi Journal of Science. 2017. Vol. 58, no. 3C, pp.1751-1759.
https://search.emarefa.net/detail/BIM-793790
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1759
Record ID
BIM-793790