Dual model for biometric identification system

A biometric system which relies only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirements. Dual modal has great demands to overcome the issue involved in single biometric identifier. The use of personal identity verificat...

Full description

Saved in:
Bibliographic Details
Main Author: Abdulaziz, Ala Abdulhakim
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.utm.my/id/eprint/48131/1/AlaAbdulhakimAbdulazizMFC2012.pdf
http://eprints.utm.my/id/eprint/48131/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:81997?queryType=vitalDismax&query=Dual+model+for+biometric+identification+system&public=true
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Language: English
id my.utm.48131
record_format eprints
spelling my.utm.481312017-08-16T04:43:00Z http://eprints.utm.my/id/eprint/48131/ Dual model for biometric identification system Abdulaziz, Ala Abdulhakim, TK Electrical engineering. Electronics Nuclear engineering A biometric system which relies only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirements. Dual modal has great demands to overcome the issue involved in single biometric identifier. The use of personal identity verification systems with a serial architecture dual-modal biometrics has been proposed using fingerprint and iris pattern in order to increase the performance and security against environmental variations and fraudulent. The dual modal system is based on an empirical analysis of the fingerprint and iris images and it is split in several steps using local image properties. The fingerprint Minutiae extraction steps are loading the finger image, enhancement by histogram equalization and Fourier transform, binarization, segmentation by block direction estimation and region of interest extraction by morphological operations, remove H-break, remove spur, extract minutia and remove false minutia. At the same time, the iris system steps are capturing iris patterns, determine the location of the iris boundaries, converting the iris boundary to the stretched polar coordinate system, extracting the iris code. The dual modal system is achieved at the fingerprint matching score level less than 75%. The implementation of methods, algorithms and the graphical user interface was done by using MATLAB and CASIA database of 11 samples of fingerprint and iris data. Statistical Experimental used in this project on a small sample size, which is very difficult to conduct a full analysis of the observed results and consider as a main limitation of dual modal system. Future work can be done by performing the statistical experiments on a larger sample size, and conduct a full analysis of the observed results. 2012 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/48131/1/AlaAbdulhakimAbdulazizMFC2012.pdf Abdulaziz, Ala Abdulhakim, (2012) Dual model for biometric identification system. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:81997?queryType=vitalDismax&query=Dual+model+for+biometric+identification+system&public=true
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abdulaziz, Ala Abdulhakim,
Dual model for biometric identification system
description A biometric system which relies only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirements. Dual modal has great demands to overcome the issue involved in single biometric identifier. The use of personal identity verification systems with a serial architecture dual-modal biometrics has been proposed using fingerprint and iris pattern in order to increase the performance and security against environmental variations and fraudulent. The dual modal system is based on an empirical analysis of the fingerprint and iris images and it is split in several steps using local image properties. The fingerprint Minutiae extraction steps are loading the finger image, enhancement by histogram equalization and Fourier transform, binarization, segmentation by block direction estimation and region of interest extraction by morphological operations, remove H-break, remove spur, extract minutia and remove false minutia. At the same time, the iris system steps are capturing iris patterns, determine the location of the iris boundaries, converting the iris boundary to the stretched polar coordinate system, extracting the iris code. The dual modal system is achieved at the fingerprint matching score level less than 75%. The implementation of methods, algorithms and the graphical user interface was done by using MATLAB and CASIA database of 11 samples of fingerprint and iris data. Statistical Experimental used in this project on a small sample size, which is very difficult to conduct a full analysis of the observed results and consider as a main limitation of dual modal system. Future work can be done by performing the statistical experiments on a larger sample size, and conduct a full analysis of the observed results.
format Thesis
author Abdulaziz, Ala Abdulhakim,
author_facet Abdulaziz, Ala Abdulhakim,
author_sort Abdulaziz, Ala Abdulhakim,
title Dual model for biometric identification system
title_short Dual model for biometric identification system
title_full Dual model for biometric identification system
title_fullStr Dual model for biometric identification system
title_full_unstemmed Dual model for biometric identification system
title_sort dual model for biometric identification system
publishDate 2012
url http://eprints.utm.my/id/eprint/48131/1/AlaAbdulhakimAbdulazizMFC2012.pdf
http://eprints.utm.my/id/eprint/48131/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:81997?queryType=vitalDismax&query=Dual+model+for+biometric+identification+system&public=true
_version_ 1643652469290434560