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bsj-3494
Developing Arabic License Plate Recognition System Using Artificial Neural Network and Canny Edge Detection
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            In recent years, there has been expanding development in the vehicular part and the number of vehicles moving on the roads in all the sections of the country. Arabic vehicle number plate identification based on image processing is a dynamic area of this work; this technique is used for security purposes such as tracking of stolen cars and access control to restricted areas. The License Plate Recognition System (LPRS) exploits a digital camera to capture vehicle plate numbers is used as input to the proposed recognition system. Basically, the proposed system consists of three phases, vehicle license plate localization, character segmentation, and character recognition, the License Plate (LP) detection is presented using canny edge detection algorithm, Connect Component Analysis (CCA) have been exploited for segmenting characters. Finally, a Multi-Layer Perceptron Artificial Neural Network (MLPANN) model is utilized to identify and detect the vehicle license plate characters, and hence the results are displayed as a text on GUI. The proposed system successfully detects LP and recognizes multi-style Arabic characters with rates of 96% and 97.872% respectively under different conditions.

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Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
Cleopatra between the western and Arabic literature
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Publication Date
Mon Sep 15 2025
Journal Name
مجلة دراسات في العلوم الانسانية والاجتماعية
The Arabic Haiku: Literary and Rhetorical Considerations
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Although the Arabic haiku has its roots in Japanese poetry structure, it frequently deviates from conventional Arabic prosody, showing only sporadic adherence to its guidelines. Arab poets have made an effort to use the haiku form while adhering to the prosody and linguistic limitations of Arabic. In spite of these efforts, the haiku usually exhibits a noticeable defiance of the limitations of conventional Arabic prosody in its Arabic form. It is crucial to critically analyze this non-conforming structure because of its origins in Japanese religious incantations. Arab poets have modified the haiku through a process of reinterpretation, essentially changing its original form into a concise form of modern poetry expression. This rese

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Publication Date
Thu Nov 14 2024
Journal Name
مجلة مركز بابل للدراسات الانسانية
تأثير المقامة العربية على المقامة العبرية الاندلسية
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Publication Date
Fri Jul 24 2020
Journal Name
مجلة الفنون والادب وعلوم الانسانيات والاجتماع
التحفظات على اتفاقية سيداو (الدول العربية انموذجا)
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يهدف البحث إلى دراسة التحفظات على اتفاقية سيداو (الدول العربية أنموذجًا)، حيث يُعد نظام التحفظ على الاتفاقيات الدولية أحد المظاهر القانونية الحديثة في مجال العلاقات الدولية، والذي يقرّ بحق الدول في إبداء التحفظ على بعض أحكام الاتفاقيات الدولية، وفقًا للأحكام العامة التي حددتها المواد (19-23) من اتفاقية فيينا لقانون المعاهدات لعام 1969. وإذا كان حق الدول في التحفظ مكفولًا دوليًا، فإن الإشكالية القانونية تكمن في

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Publication Date
Wed Jun 01 2022
Journal Name
Journal Of The College Of Languages (jcl)
The Role of Gender and Culture in Dealing with the Arab Woman's Issues Embodied in Caricatures: A Cognitive Linguistic Analysis
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Gender and culture are among the factors that influence the process of understanding and interpreting different types of communication, especially images. The current study, which is a part of a master’s thesis, aims at investigating the role of gender and culture in interpreting and understanding the caricatures that deal with women’s issues in Arab societies. To this end, the researchers adopted Barthes’ (1957) concepts of denotation and connotation in his theory of mythologies in addition to Langacker’s (1987) theory of (Domains). The research concludes that the female subjects have better cognitive abilities in investing the signs within the selected caricatures. The other factor the study reached to is that the respondents

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Publication Date
Tue Jul 01 2014
Journal Name
Computer Engineering And Intelligent Systems
Static Analysis Based Behavioral API for Malware Detection using Markov Chain
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Researchers employ behavior based malware detection models that depend on API tracking and analyzing features to identify suspected PE applications. Those malware behavior models become more efficient than the signature based malware detection systems for detecting unknown malwares. This is because a simple polymorphic or metamorphic malware can defeat signature based detection systems easily. The growing number of computer malwares and the detection of malware have been the concern for security researchers for a large period of time. The use of logic formulae to model the malware behaviors is one of the most encouraging recent developments in malware research, which provides alternatives to classic virus detection methods. To address the l

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Publication Date
Thu Apr 01 2021
Journal Name
Telkomnika (telecommunication Computing Electronics And Control)
Automatic human ear detection approach using modified adaptive search window technique
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Publication Date
Tue Oct 01 2019
Journal Name
2019 International Conference On Electrical Engineering And Computer Science (icecos)
An Evolutionary Algorithm for Community Detection Using an Improved Mutation Operator
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Publication Date
Tue Sep 23 2025
Journal Name
Journal Of Plant Protection Research
Smart sprayer for weed control using an object detection algorithm (yolov5)
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Spraying pesticides is one of the most common procedures that is conducted to control pests. However, excessive use of these chemicals inversely affects the surrounding environments including the soil, plants, animals, and the operator itself. Therefore, researchers have been encouraged to...

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Publication Date
Mon Jan 01 2018
Journal Name
Matec Web Of Conferences
Brain Tumour Detection using Fine-Tuning Mechanism for Magnetic Resonance Imaging
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In this paper, new brain tumour detection method is discovered whereby the normal slices are disassembled from the abnormal ones. Three main phases are deployed including the extraction of the cerebral tissue, the detection of abnormal block and the mechanism of fine-tuning and finally the detection of abnormal slice according to the detected abnormal blocks. Through experimental tests, progress made by the suggested means is assessed and verified. As a result, in terms of qualitative assessment, it is found that the performance of proposed method is satisfactory and may contribute to the development of reliable MRI brain tumour diagnosis and treatments.

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