منصور علي محمد الغامدي

 


      
 
الاسم الاول: 
منصور
اسم العائلة: 
الغامدي
الدرجة العلمية: 
دكتوراة
مجال الدراسة: 
Information and Computer Science
المؤسسة التعليمية: 
Bangor University

مجال التميز

تميز بحثي ودراسي + إبداع علمي (جائزة تفوقية)

 

 

البحوث المنشورة

 

البحث (1):

 

عنوان البحث:

A New Thinning Algorithm for Arabic Script

رابط إلى البحث:

Click here

 

تاريخ النشر:

06/02/2017

موجز عن البحث:

 

Background and Purpose

Tissue transglutaminase (TG2) has been shown to mediate cell survival in many cell types. In this study, we investigated whether the role of TG2 in cytoprotection was mediated by the activation of PKA and PKC in cardiomyocyte-like H9c2 cells.

Thinning is one of the critical processes for different applications in image analysis, in particular for Optical Character Recognition (OCR) applications. The accuracy performance of OCR relies on the effectiveness of thinning algorithms. However, previously there has been little attention paid for proposing thinning algorithms for Arabic script. Also, there is a lack of quantitative performance measures of thinning techniques for Arabic script.

Consequently, it is unclear which thinning algorithms are more appropriate for Arabic script. In this paper, a new thinning algorithm for Arabic script is proposed with several new performance metrics. An experiment is conducted to evaluate the proposed algorithm against two well established thinning algorithms with respect to the several proposed objective performance metrics. The experimental results show that the new algorithm has the best performance among the other two thinning algorithms.

 

 

المؤتمرات العلمية:

 

المؤتمر (1):

 

عنوان المؤتمر:

2016 7th International Conference on Computer Science and Information Technology (CSIT)

تاريخ الإنعقاد:

13/07/2016

مكان الإنعقاد:

Amman, Jordan

طبيعة المشاركة:

Paper presentation

عنوان المشاركة:

 Arabic OCR Evaluation Tool

ملخص المشاركة:

 

Performance evaluation of Optical Character Recognition (OCR) systems is an essential task for OCR systems development. However, studies in Arabic OCR suffer from the lack of proper performance evaluation metrics and the availability of evaluation tools. Although the literature provides typical performance metrics, such as character accuracy and word accuracy for OCR performance evaluation, these metrics are not sufficient for evaluating Arabic OCR. This paper presents an open source automated software tool with various metrics for the evaluation of Arabic OCR performance. The developed tool is available for OCR researchers, thus it can be applied for ranking different OCR algorithms.

 

 

جوائز التكريم:

 

الجائزة (1):

 

مسمى الجائزة:

Research Publication Certificate

الجهة المانحة:

International Journal of Computer Science and Information Security

تاريخ الجائزة:

2017/02/06

مجال التكريم:

Best Paper

المرفقالحجم
Research Paper2-A New Thinning Algorithm for Arabic Script (1).pdf‏535.45 ك.بايت
Research Paper1-Arabic OCR Evaluation Tool - CSIT2016.pdf‏650.19 ك.بايت
Mansoor Best Paper Award IJCSIS Certificate 2017.pdf‏96.62 ك.بايت
Certificate of Participation.pdf‏75.47 ك.بايت