Hand palmprint authentication system
Other Title(s)
نظام التحقق من هوية الشخص باستخدام راحة اليد
Dissertant
al-Turayhi, Maha Muhammad Ali Sharif
Thesis advisor
Comitee Members
Hamad, Makkiyah K.
Khalid, Lamya Hafiz
University
University of Baghdad
Faculty
College of Science
Department
Department of Computer Science
University Country
Iraq
Degree
Master
Degree Date
2004
English Abstract
Biometrics is defined as measurable physiological and/or behavioral characteristics to verify the identity of an individual. It is the technology using image processing and pattern recognition in the security field.
Recently biometric technologies are rapidly evolving and becoming security options to verify the true identity of an individual in the wide areas of businesses and organizations. The process of identifying an individual usually based on a username and password.
In security systems, authentication is distinct from authorization, which is the process of giving individuals access to system objects based on their identity. Authentication merely ensures that the individual is who he or she claims to be, but says nothing about the access rights of the individual. Palmprint authentication is one of the relatively new physiological biometric technologies which exploit the unique features on the human palmprint, namely principal lines, wrinkles, ridges.
The rich texture information of palmprint offers the effective means in person authentication due to its non-intrusive, user friendly, stable, low-resolution imaging and low cost requirements. In the palmprint acquisition stage, users placed their palms on the platform of the scanner rather than of using a chargecoupled device (CCD).
Therefore, palmprint images captured in the image acquisition stage may have variable size and orientation and also subject to noise.
Moreover, the non-interesting regions (e.g.
fingers, wrist, image background, etc) may affect the accurate processing and degrade the verification performance.
Therefore, image preprocessing is a crucial and necessary part before feature extraction. This research work introduces an experimental evaluation of the effectiveness of utilizing Moment invariant and Complex moment in the application of palmprint verification. The work was performed on database (including 25 images for 5 persons).
Experimental results indicated that the performance of the system depends on the moment type.
The non centralized moment invariant has the best performance among the other moments.
Main Subjects
Information Technology and Computer Science
No. of Pages
109
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : General introduction for biometric.
Chapter Two : Image processing and pattern recognition principles.
Chapter Three : Hand palmprint authentication system.
Chapter Four : Experimental results and discussion.
Chapter Five : Conclusions and future work suggestions.
References.
American Psychological Association (APA)
al-Turayhi, Maha Muhammad Ali Sharif. (2004). Hand palmprint authentication system. (Master's theses Theses and Dissertations Master). University of Baghdad, Iraq
https://search.emarefa.net/detail/BIM-604748
Modern Language Association (MLA)
al-Turayhi, Maha Muhammad Ali Sharif. Hand palmprint authentication system. (Master's theses Theses and Dissertations Master). University of Baghdad. (2004).
https://search.emarefa.net/detail/BIM-604748
American Medical Association (AMA)
al-Turayhi, Maha Muhammad Ali Sharif. (2004). Hand palmprint authentication system. (Master's theses Theses and Dissertations Master). University of Baghdad, Iraq
https://search.emarefa.net/detail/BIM-604748
Language
English
Data Type
Arab Theses
Record ID
BIM-604748
