Improvement of iris recognition system using fuzzy segmentation and neural network
Other Title(s)
تطوير نظام التعرف على هوية الأشخاص بواسطة قزحية العين باستخدام تقنية الانقسام الضبابي و الشبكات العصبونية
Dissertant
al-Hawamidah, Kawthar Hamad Allah Muhammad
Thesis advisor
al-Dawud, Isam F.
al-Smadi, Adnan M.
Comitee Members
al-Samawi, Venus Wazir
al-Khalidi, Jihad O.
Abu al-Jabr, Walid
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
2010
English Abstract
A biometric system provides automatic identification of an individual based on a unique features or characteristics.
Iris recognition is regarded as the most reliable and accurate biometric identification system available.
Most commercial Iris recognition systems use patented algorithms developed by Daugman, and these algorithms are able to produce high recognition rates. The work presented in this thesis aims to improve Iris recognition system in order to verify both the uniqueness of the human Iris and its performance as a biometric system.
The system used is based on database of grayscale eye image (CASIA-Iris-V3-Interval). This study consists of two parts.
Part one presents a new segmentation method which is based on C-Mean algorithm.
It is able to localize the circular Iris region, occluding eyelids and eyelashes, and reflections.
Part two uses neural network to match these Irises and to perform the recognition. Finally, the system is implemented on a set of 400 eye images.
We obtained high recognition rate which was about 97.5% with minimum time required.
In addition, our method of Iris recognition is shown to be reliable and accurate biometric technology.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
83
Table of Contents
Table of contents.
Abstract.
Chapter One : introduction.
Chapter Two : theoretical background.
Chapter Three : implementation.
Chapter Four : assessing results.
Chapter Five : conclusion and future work.
References.
American Psychological Association (APA)
al-Hawamidah, Kawthar Hamad Allah Muhammad. (2010). Improvement of iris recognition system using fuzzy segmentation and neural network. (Master's theses Theses and Dissertations Master). Al albayt University, Jordan
https://search.emarefa.net/detail/BIM-311507
Modern Language Association (MLA)
al-Hawamidah, Kawthar Hamad Allah Muhammad. Improvement of iris recognition system using fuzzy segmentation and neural network. (Master's theses Theses and Dissertations Master). Al albayt University. (2010).
https://search.emarefa.net/detail/BIM-311507
American Medical Association (AMA)
al-Hawamidah, Kawthar Hamad Allah Muhammad. (2010). Improvement of iris recognition system using fuzzy segmentation and neural network. (Master's theses Theses and Dissertations Master). Al albayt University, Jordan
https://search.emarefa.net/detail/BIM-311507
Language
English
Data Type
Arab Theses
Record ID
BIM-311507
