Veiled-person identification based on part of face and eyes
Other Title(s)
التحقق من هوية الأشخاص المنقبين اعتمادا على العينين و جزء من الوجه
Dissertant
al-Hasanat, Samahir Madd Allah Muslim
Thesis advisor
al-Mahadin, Bassam
al-Hasanat, Ahmad Bashir
Comitee Members
Hammuri, Awni Mansur
al-Dhunaybat, Ahmad Abd Allah
University
Mutah University
Faculty
Information Technology College
Department
Computer Science Department
University Country
Jordan
Degree
Master
Degree Date
2017
English Abstract
In modern automated life, biometric applications become an imperative necessity in many life scopes.
Human face is considered as the most user friendly and realistic identifier.
Therefore, face recognition has been a hot and significant research field in last few decades.
Human face is rich in lineaments that ease person recognition, but in restricted cases some of those lineaments are covered by a veil for various causes.
Is the computer system able to identify this veiled-one? Is it able to distinguish veiled-male from veiled-female? These whys and wherefores need to be answered in this thesis.
This thesis aims to investigate to what extents a computer system can identify veiled-human and recognize gender using eyes and the surroundings.
For the purpose of this study, we have created a new database called Veiled-Person Identification (VPI) by a mobile phone camera; VPI consists of 1200 images for 100 different adult veiled-persons (50 males and 50 females).
In all our experiments VPI has been utilized for training and testing.
The proposed method in this thesis is a new method and it is a fusion between Geometrical face features (Edge ratio) and Textural features (Probability Density Function (PDF) of the color moments).
The proposed method has achieved a high success rate for veiled-face identification on VPI database.
Accuracy is ranging from ::.88% to ;9.22% depending on the used classifier.
In addition to, the proposed method achieved up to 99.41% success rate for gender classification.
Finally, the proposed method has been compared with some of wellknown approaches that have been applied in face recognition.
It has exceeded all of them in term of accuracy and dimensionality
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
58
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Design and methodology (proposed work).
Chapter Four : Results and discussions.
References.
American Psychological Association (APA)
al-Hasanat, Samahir Madd Allah Muslim. (2017). Veiled-person identification based on part of face and eyes. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-749392
Modern Language Association (MLA)
al-Hasanat, Samahir Madd Allah Muslim. Veiled-person identification based on part of face and eyes. (Master's theses Theses and Dissertations Master). Mutah University. (2017).
https://search.emarefa.net/detail/BIM-749392
American Medical Association (AMA)
al-Hasanat, Samahir Madd Allah Muslim. (2017). Veiled-person identification based on part of face and eyes. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-749392
Language
English
Data Type
Arab Theses
Record ID
BIM-749392
