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Header-Words Based for Printed Arabic Document Images Retrieval System

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.

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Publication Date
Mon Jan 25 2021
Journal Name
Engineering And Technology Journal
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Publication Date
Wed Nov 06 2019
Journal Name
College Of Physical Education And Sports Science
Publication Date
Sat Nov 30 2019
Journal Name
Journal Of Engineering And Applied Sciences
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Publication Date
Tue Jan 01 2019
Journal Name
Energy Procedia
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Publication Date
Thu Nov 01 2018
Journal Name
Journal Of Economics And Administrative Sciences
Using Multidimensional Contingency Coefficient to Discrimination Arabic Poems for Sample of Poets

The purpose of this paper to discriminate between the poetic poems of each poet depending on the characteristics and attribute of the Arabic letters. Four categories used for the Arabic letters, letters frequency have been included in a multidimensional contingency table and each dimension has two or more levels, then contingency coefficient calculated.

The paper sample consists of six poets from different historical ages, and each poet has five poems. The method was programmed using the MATLAB program, the efficiency of the proposed method is 53% for the whole sample, and between 90% and 95% for each poet's poems.

 

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Publication Date
Wed Dec 25 2019
Journal Name
Journal Of Engineering
Design of Expert System for Managing the System of AthTharthar Lake

The operation and management of water resources projects have direct and significant effects on the optimum use of water. Artificial intelligence techniques are a new tool used to help in making optimized decisions, based on knowledge bases in the planning, implementation, operation and management of projects as well as controlling flowing water quantities to prevent flooding and storage of excess water and use it during drought.

 In this research, an Expert System was designed for operating and managing the system of AthTharthar Lake (ESSTAR). It was applied for all expected conditions of flow, including the cases of   drought, normal flow, and during floods. Moreover, the cases of hypothetical op

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Publication Date
Fri Nov 09 2018
Journal Name
International Journal Of English Linguistics
A Discourse Analysis Study of Comic Words in the American and British Sitcoms

DBN Rashid, International Journal of English Linguistics, 2019 - Cited by 2

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Publication Date
Mon Oct 01 2018
Journal Name
Xlinguae
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Publication Date
Wed Oct 06 2021
Journal Name
College Of Islamic Sciences
Linguistic deposits in the Arabic language

 

Abstract of the research:

     This research sheds light on an important phenomenon in our Arabic language, which is linguistic sediments, and by which we mean a group of vocabulary that falls out of use and that native speakers no longer use it, and at the same time it happens that few individuals preserve the phenomenon and use it in their lives, and it is one of the most important phenomena that  It should be undertaken and studied by researchers;  Because it is at the heart of our huge linguistic heritage, as colloquial Arabic dialects retain a lot of linguistic sediments, and we usually find them at all levels of language: phonetic, banking, grammatical and semantic.  In the

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Publication Date
Mon Mar 01 2021
Journal Name
The Saudi Dental Journal
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