Handwritten identification technique based on wavelet transform
Other Title(s)
تقنية التعريف على الخط اليدوي بالاعتماد على التحويل الموجي
Dissertant
Thesis advisor
University
University of Baghdad
Faculty
College of Science
Department
Department of Computer Science
University Country
Iraq
Degree
Master
Degree Date
2006
English Abstract
In this research, a system that has the ability to recognize and identify persons from his handwriting is designed.
Wavelet transform algorithm was utilized to analyze the individual characters of certain person's writing.
Complex moments is used as tool for the differentiation between different persons.
This involves process that requires isolating the individual characters from the input images, because adopted writing involved series of characters; e.g.
capital English letters "A through Z".
Only the 1st order decomposition level of the wavelet transform is utilized.
This utilization is adopted to perform the recognition and identification process quickly and adequately.
The test was implemented on 40 samples of 10 persons voluntaries.
Some of the samples are used for verification tests.
Minimum distance classifier (based on Euclidian distance) is used to test the similarity or closeness between matched samples.
Three handwriting versions, for each person, has been adopted and used as reference data reserved in the constructed database.
Complex moments of four decomposed sub images (i.e.
LL, LH, HL, HH) are computed and used as featured vectors to be compared in the recognition and identification processes.
The developed system utilized the power of the Visual Basic 6 for performing the required operations involved in our designed system.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
59
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : General introduction.
Chapter Two : Wavelet transforms.
Chapter Three : Moments and pattern rcognition.
Chapter Four : Handwritten identification system.
Chapter Five : Conclusions and suggestions for future work.
References.
American Psychological Association (APA)
Husayn, Ali Hadi. (2006). Handwritten identification technique based on wavelet transform. (Master's theses Theses and Dissertations Master). University of Baghdad, Iraq
https://search.emarefa.net/detail/BIM-605349
Modern Language Association (MLA)
Husayn, Ali Hadi. Handwritten identification technique based on wavelet transform. (Master's theses Theses and Dissertations Master). University of Baghdad. (2006).
https://search.emarefa.net/detail/BIM-605349
American Medical Association (AMA)
Husayn, Ali Hadi. (2006). Handwritten identification technique based on wavelet transform. (Master's theses Theses and Dissertations Master). University of Baghdad, Iraq
https://search.emarefa.net/detail/BIM-605349
Language
English
Data Type
Arab Theses
Record ID
BIM-605349
