Minutiae point exraction for skeleton-based fingerprint image

A reliable personal identification is necessary due to the growing importance of information technology and the necessity of protection and access restriction. The key task is to identify the owner of the security system. A biometric security system verifies user identity by comparing the behavioral...

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Main Author:	Azril Nizam, Muhamad
Format:	Undergraduates Project Papers
Language:	English English English English
Published:	2008
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/399/ http://umpir.ump.edu.my/id/eprint/399/ http://umpir.ump.edu.my/id/eprint/399/1/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/399/2/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/399/7/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/399/19/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20References.pdf

id	ump-399
recordtype	eprints
spelling	ump-3992017-04-11T06:59:49Z http://umpir.ump.edu.my/id/eprint/399/ Minutiae point exraction for skeleton-based fingerprint image Azril Nizam, Muhamad TK Electrical engineering. Electronics Nuclear engineering A reliable personal identification is necessary due to the growing importance of information technology and the necessity of protection and access restriction. The key task is to identify the owner of the security system. A biometric security system verifies user identity by comparing the behavioral or physiological trait of the owner. Fingerprints are the oldest and most widely used form of biometric identification because of their high acceptability, immutability and individuality. Local characteristic called minutiae points represent fingerprints where the most prominent points are end point and bifurcation point. This project is a software design of minutiae point extraction for skeleton-based fingerprint image. There are four main components in the software design which are image pre-processing, minutiae extraction, post-processing and the graphical user interface (GUI). In the image pre-processing, image enhancement were executed which include loading an input image, binarize the image and thinning the image. In the minutiae extraction stage, end points and bifurcation points were located. The post-processing stage execute the removal of the false minutiae out of the fingerprint image and lastly, the graphical user interface (GUI) will access the image repository and display the output image at each processing stage hence, as the interface between the user and the software design. 2008-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/399/1/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Table%20of%20content.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/399/2/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/399/7/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/399/19/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20References.pdf Azril Nizam, Muhamad (2008) Minutiae point exraction for skeleton-based fingerprint image. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:37986&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Azril Nizam, Muhamad Minutiae point exraction for skeleton-based fingerprint image
description	A reliable personal identification is necessary due to the growing importance of information technology and the necessity of protection and access restriction. The key task is to identify the owner of the security system. A biometric security system verifies user identity by comparing the behavioral or physiological trait of the owner. Fingerprints are the oldest and most widely used form of biometric identification because of their high acceptability, immutability and individuality. Local characteristic called minutiae points represent fingerprints where the most prominent points are end point and bifurcation point. This project is a software design of minutiae point extraction for skeleton-based fingerprint image. There are four main components in the software design which are image pre-processing, minutiae extraction, post-processing and the graphical user interface (GUI). In the image pre-processing, image enhancement were executed which include loading an input image, binarize the image and thinning the image. In the minutiae extraction stage, end points and bifurcation points were located. The post-processing stage execute the removal of the false minutiae out of the fingerprint image and lastly, the graphical user interface (GUI) will access the image repository and display the output image at each processing stage hence, as the interface between the user and the software design.
format	Undergraduates Project Papers
author	Azril Nizam, Muhamad
author_facet	Azril Nizam, Muhamad
author_sort	Azril Nizam, Muhamad
title	Minutiae point exraction for skeleton-based fingerprint image
title_short	Minutiae point exraction for skeleton-based fingerprint image
title_full	Minutiae point exraction for skeleton-based fingerprint image
title_fullStr	Minutiae point exraction for skeleton-based fingerprint image
title_full_unstemmed	Minutiae point exraction for skeleton-based fingerprint image
title_sort	minutiae point exraction for skeleton-based fingerprint image
publishDate	2008
url	http://umpir.ump.edu.my/id/eprint/399/ http://umpir.ump.edu.my/id/eprint/399/ http://umpir.ump.edu.my/id/eprint/399/1/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/399/2/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/399/7/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/399/19/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20References.pdf
first_indexed	2023-09-18T21:52:34Z
last_indexed	2023-09-18T21:52:34Z
_version_	1777413866411524096

Minutiae point exraction for skeleton-based fingerprint image

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