Real time Arabic translation system for signboard images based on printed character recognition
Other Title(s)
نظام الترجمة العربي الآني لصور اللوحات الإعلانية بالاعتماد على تمييز الحروف المطبوعة
Dissertant
al-Sharari, Shuruq al-Mamun Fayiz
Thesis advisor
al-Hashimi, Rafiq Abd al-Rahman A.
Comitee Members
al-Zubaydi, Rashid
Uwayyid, Husayn
University
Middle East University
Faculty
Faculty of Information Technology
Department
Computer Science Department
University Country
Jordan
Degree
Master
Degree Date
2013
English Abstract
In spite of the diversity in products of translation text embedded in images for many languages but for Arabic texts there are problems seem to be not yet well solved to address this problem.
In this thesis we developed a new system that will automatically translate Arabic text embedded in images into English.
This system consists of four subsystems: preprocessing, segmentation (text detection), character recognition and translation.
Dealing with Arabic language was the most important problem faced by the proposed system because it has a set of characteristics makes the identification very difficult, such as words interrelated.
In additional there are more than one form character and although the system achieve satisfactory results in dealing with the Arabic language and get an excellent translation through improving the quality of the entered image to the system.
The system automatically detect the text in the image and we applied Template matching algorithm to recognize the Arabic character.
Our proposal system works good with different backgrounds, rotated images, skewed, font sizes and blurred images.
The proposed system has been tested on samples of 25 images selected from signboard in street and showed promising experimental results within the limits of the system, which is the font size 40, font type (ALNSKH).
The system was assessed using recall measurement to evaluate the performance of the developed system and the experimental results of character recognition show a rate of 81.82%, the word recognition subsystem gave a rate of (94.44%) and the word translation was about (83.33%).
Main Subjects
Information Technology and Computer Science
No. of Pages
63
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature survey and related works.
Chapter Three : Image translation system based on Arabic OCR.
Chapter Four : Experimental results and discussion.
Chapter Five : Conclusions and future works.
Chapter Six : References.
American Psychological Association (APA)
al-Sharari, Shuruq al-Mamun Fayiz. (2013). Real time Arabic translation system for signboard images based on printed character recognition. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-699680
Modern Language Association (MLA)
al-Sharari, Shuruq al-Mamun Fayiz. Real time Arabic translation system for signboard images based on printed character recognition. (Master's theses Theses and Dissertations Master). Middle East University. (2013).
https://search.emarefa.net/detail/BIM-699680
American Medical Association (AMA)
al-Sharari, Shuruq al-Mamun Fayiz. (2013). Real time Arabic translation system for signboard images based on printed character recognition. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-699680
Language
English
Data Type
Arab Theses
Record ID
BIM-699680
