Integration of median filter and oriented field estimation for fingerprint identification system

The Fingerprint Identification System (FIS) has been used and applied into various aspects. The system used identification based on fingerprint to give an authorization and identification to every person that wants to access the system. However, there are some research issues that affect the system...

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Main Author:	Nor'Aqilah, Misman
Format:	Thesis
Language:	English
Published:	2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/12075/ http://umpir.ump.edu.my/id/eprint/12075/ http://umpir.ump.edu.my/id/eprint/12075/1/NOR%27AQILAH%20BINTI%20MISMAN.PDF

id	ump-12075
recordtype	eprints
spelling	ump-120752016-03-17T02:13:07Z http://umpir.ump.edu.my/id/eprint/12075/ Integration of median filter and oriented field estimation for fingerprint identification system Nor'Aqilah, Misman QA75 Electronic computers. Computer science The Fingerprint Identification System (FIS) has been used and applied into various aspects. The system used identification based on fingerprint to give an authorization and identification to every person that wants to access the system. However, there are some research issues that affect the system accuracy such as noise element and low-quality fingerprint image. To solve this problem, this project will proposed two selection methods; which are Median filter to reduce noise element and Orientation Field Extimation method to enhance the low quality image. This proposed methods is implement in order to get an accurate result and high performance system. In order to verify the system identification, two experiments has been done which are functional test and accuracy test. This test will used 16 images from FVC2004DB1 set. From this test, there will be three results that being focus on which are the computational time, high peak value, False Rejection Rate (FRR), False Acceptance Rate (FAR) and Matching Rate. These values are used in order to verify high performance in the system, by comparing the proposed system with other existing system. By doing this experiment, it shown that by using the proposed methods it has lower value in average time and FRR value; which is good in order to get a high performance working system. However, for FAR value the other existing work has more accurate result in identifying fingerprint image compared to proposed work. Based from the experimental test, it shown that by using the proposed methods it is effective in order to identify low-quality and noises image with an accurate matching result and high performance system. 2015-01 Thesis NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/12075/1/NOR%27AQILAH%20BINTI%20MISMAN.PDF Nor'Aqilah, Misman (2015) Integration of median filter and oriented field estimation for fingerprint identification system. Masters thesis, Universiti Teknologi Malaysia. http://iportal.ump.edu.my/lib/item?id=chamo:87631&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Nor'Aqilah, Misman Integration of median filter and oriented field estimation for fingerprint identification system
description	The Fingerprint Identification System (FIS) has been used and applied into various aspects. The system used identification based on fingerprint to give an authorization and identification to every person that wants to access the system. However, there are some research issues that affect the system accuracy such as noise element and low-quality fingerprint image. To solve this problem, this project will proposed two selection methods; which are Median filter to reduce noise element and Orientation Field Extimation method to enhance the low quality image. This proposed methods is implement in order to get an accurate result and high performance system. In order to verify the system identification, two experiments has been done which are functional test and accuracy test. This test will used 16 images from FVC2004DB1 set. From this test, there will be three results that being focus on which are the computational time, high peak value, False Rejection Rate (FRR), False Acceptance Rate (FAR) and Matching Rate. These values are used in order to verify high performance in the system, by comparing the proposed system with other existing system. By doing this experiment, it shown that by using the proposed methods it has lower value in average time and FRR value; which is good in order to get a high performance working system. However, for FAR value the other existing work has more accurate result in identifying fingerprint image compared to proposed work. Based from the experimental test, it shown that by using the proposed methods it is effective in order to identify low-quality and noises image with an accurate matching result and high performance system.
format	Thesis
author	Nor'Aqilah, Misman
author_facet	Nor'Aqilah, Misman
author_sort	Nor'Aqilah, Misman
title	Integration of median filter and oriented field estimation for fingerprint identification system
title_short	Integration of median filter and oriented field estimation for fingerprint identification system
title_full	Integration of median filter and oriented field estimation for fingerprint identification system
title_fullStr	Integration of median filter and oriented field estimation for fingerprint identification system
title_full_unstemmed	Integration of median filter and oriented field estimation for fingerprint identification system
title_sort	integration of median filter and oriented field estimation for fingerprint identification system
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/12075/ http://umpir.ump.edu.my/id/eprint/12075/ http://umpir.ump.edu.my/id/eprint/12075/1/NOR%27AQILAH%20BINTI%20MISMAN.PDF
first_indexed	2023-09-18T22:13:19Z
last_indexed	2023-09-18T22:13:19Z
_version_	1777415172018667520

Integration of median filter and oriented field estimation for fingerprint identification system

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