A mouse gesture recognition system for Arabic digits
Dissertant
Thesis advisor
Comitee Members
Shatnawi, Umar Ali
Slait, Azzam Talal
Samawi, Venus W.
University
Al albayt University
Faculty
Prince Hussein Bin Abdullah Faculty for Information Technology
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2011
English Abstract
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.
Main Subjects
Information Technology and Computer Science
No. of Pages
75
Table of Contents
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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Language
English
Data Type
Arab Theses
Record ID
BIM-321371
