A mouse gesture recognition system for Arabic digits
مقدم أطروحة جامعية
مشرف أطروحة جامعية
أعضاء اللجنة
Shatnawi, Umar Ali
Slait, Azzam Talal
Samawi, Venus W.
الجامعة
جامعة آل البيت
الكلية
كلية الأمير الحسين بن عبد الله لتكنولوجيا المعلومات
القسم الأكاديمي
قسم علوم الحاسوب
دولة الجامعة
الأردن
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2011
الملخص الإنجليزي
Image object (shape) representation has always been an important topic in image processing and pattern recognition.
Digit Recognition systems have several applications that are increasingly employed in daily life.
In this thesis, a technique has been employed to identify an Arabic digit based on chain code representation of shapes.
Mouse Gesture Arabic Digit Recognizer System (MGADRS) is designed and tested successfully.
This work deals with representation of shape based on a new boundary Freeman Chain Code (FCC) with eight connectivity, and template to recognize the Arabic digit.
FCC techniques are widely used to represent an object because they preserve information such as detecting corners, straight lines.
FCC algorithm is used to produce vector chain code that represented a thinned binary image of the Arabic digit object.
This thesis discusses the capabilities of the FCC in recognizing objects; the FCC has been improved to read the skeleton of the shape resulting from the thinning algorithm then determine the drawn area, starting point and ending point for the shape, and then compare the shape with a set of templates that have been previously selected by the drawing area, in order to reach high accuracy in the results.
A comparison was made between the proposed algorithm and the MGHD algorithm that used to recognize the Indian digits, the results were better in the proposed system in terms of time and accuracy, where MGHD Algorithm has reached an accuracy of 89.5 % and the average time approximately 40 seconds, the proposed algorithm has reached an accuracy of 96.5 % and the average time was only 4.5 seconds.
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
عدد الصفحات
75
قائمة المحتويات
Table of contents.
Abstract.
Chapter One : introduction.
Chapter Two : literature review.
Chapter Three : methodology.
Chapter Four : proposed approach.
Chapter Five : experimental results and discussion.
Chapter Six : conclusion and future work.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kharis, Ghassan Husni Ibrahim. (2011). A mouse gesture recognition system for Arabic digits. (Master's theses Theses and Dissertations Master). Al albayt University, Jordan
https://search.emarefa.net/detail/BIM-321371
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kharis, Ghassan Husni Ibrahim. A mouse gesture recognition system for Arabic digits. (Master's theses Theses and Dissertations Master). Al albayt University. (2011).
https://search.emarefa.net/detail/BIM-321371
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kharis, Ghassan Husni Ibrahim. (2011). A mouse gesture recognition system for Arabic digits. (Master's theses Theses and Dissertations Master). Al albayt University, Jordan
https://search.emarefa.net/detail/BIM-321371
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-321371
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
